{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 爬取淘宝商品\n",
    "\n",
    "## 项目内容\n",
    "\n",
    "案例选择>>商品类目：沙发  \n",
    "数量：共100页 4400商品  \n",
    "筛选条件：天猫、销量从高到低、价格500元以上\n",
    "![](./images/taobao.png)\n",
    "\n",
    "## 项目目的  \n",
    "1. 对商品标题进行文本分析，词云可视化  \n",
    "2. 不同关键词word对应的sales的统计分析  \n",
    "3. 商品的价格分布情况分析  \n",
    "4. 商品的销量分布情况分析  \n",
    "5. 不同价格区间的商品的平均销量分布  \n",
    "6. 商品价格对销量的影响分析  \n",
    "7. 商品价格对销售额的影响分析\n",
    "8. 不同省份的商品平均销售分布  \n",
    "\n",
    "## 项目步骤  \n",
    "1. 数据采集： Python爬取淘宝网商品数据\n",
    "2. 对数据进行清洗和处理  \n",
    "3. 文本分析：jieba分词，wordcloud可视化  \n",
    "4. 数据柱形图可视化barh  \n",
    "5. 数据直方图可视化hist  \n",
    "6. 数据散点图可视化scatter\n",
    "7. 数据回归分析可视化regplot\n",
    "\n",
    "## 模块\n",
    "requests、retrying、missingno、jieba、matplotlib、wordcloud、imread、seaborn等 \n",
    "\n",
    "## 一、爬取数据\n",
    "淘宝网是反爬虫的，虽然使用多线程、修改headers参数，但仍然不能保证每次100%爬取，所以增加了循环爬取，每次爬取未爬取成功的页面，直至所有页都爬取成功停止。  \n",
    "\n",
    ">淘宝商品页为json格式，使用正则表达式进行解析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "import re\n",
    "import xlwt\n",
    "import time \n",
    "import requests\n",
    "import pandas as pd\n",
    "from retrying import retry\n",
    "from concurrent.futures import ThreadPoolExecutor\n",
    "import matplotlib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "爬取完成，用时:  9.088245 s\n"
     ]
    }
   ],
   "source": [
    "# 计时开始\n",
    "start = time.clock()\n",
    "# plist 为1-100页的URL的编号num\n",
    "plist = []\n",
    "for i in range(1, 101):\n",
    "    j = 44 * (i-1)\n",
    "    plist.append(j)\n",
    "    \n",
    "listno = plist\n",
    "datatmsp = pd.DataFrame(columns=[])\n",
    "\n",
    "while True:\n",
    "    # 设置最大重试次数\n",
    "    @retry(stop_max_attempt_number = 8)\n",
    "    def network_programming(num):\n",
    "        url = 'https://s.taobao.com/search?initiative_id=tbindexz_20170306&ie=utf8&spm=a21bo.2017.201856-taobao-item.2&sourceId=tb.index&search_type=item&ssid=s5-e&commend=all&imgfile=&q=%E6%B2%99%E5%8F%91&suggest=history_1&_input_charset=utf-8&wq=shafa&suggest_query=shafa&source=suggest&bcoffset=4&ntoffset=4&p4ppushleft=1%2C48&s=' + str(num)\n",
    "        web = requests.get(url, headers=headers)\n",
    "        web.encoding = 'utf-8'\n",
    "        return web\n",
    "    \n",
    "    # 多线程\n",
    "    def multithreading():\n",
    "        # 每次爬取未爬取成功的页\n",
    "        number = listno\n",
    "        event = []\n",
    "        \n",
    "        with ThreadPoolExecutor(max_workers=10) as executor:\n",
    "            for result in executor.map(network_programming, number, chunksize=10):\n",
    "                event.append(result)\n",
    "                \n",
    "        return event\n",
    "    \n",
    "    headers = {\n",
    "        'User-Agent':'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.167 Safari/537.36'\n",
    "    \n",
    "    }\n",
    "    \n",
    "    listpg = []\n",
    "    event = multithreading()\n",
    "    for i in event:\n",
    "        json = re.findall(\n",
    "        '\"auctions\":(.*?),\"recommendAuctions\"', i.text)\n",
    "        if len(json):\n",
    "            table = pd.read_json(json[0])\n",
    "            datatmsp = pd.concat([datatmsp, table],\n",
    "                                axis=0, ignore_index=True)\n",
    "            \n",
    "            pg = re.findall(\n",
    "            '\"pageNum\":(.*?),\"p4pbottom_up\"', i.text)[0]\n",
    "            listpg.append(pg)\n",
    "            \n",
    "    lists = []\n",
    "    for a in listpg:\n",
    "        b = 44 * (int(a)-1)\n",
    "        lists.append(b)\n",
    "        \n",
    "    listn = listno\n",
    "    \n",
    "    listno = []\n",
    "    for p in listn:\n",
    "        if p not in lists:\n",
    "            listno.append(p)\n",
    "            \n",
    "    if len(listno) == 0:\n",
    "        break\n",
    "        \n",
    "datatmsp.to_excel('./data/datastmsp.xls', index=False)\n",
    "\n",
    "end = time.clock()\n",
    "print(\"爬取完成，用时: \",end-start, 's')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二、数据清洗，处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "datatmsp = pd.read_excel('./data/datastmsp.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4392, 25)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datatmsp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7392e224a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as msno\n",
    "msno.bar(datatmsp.sample(len(datatmsp)), figsize=(10, 4))\n",
    "\n",
    "# 删除缺失值过半的列\n",
    "half_count = len(datatmsp)/2\n",
    "datatmsp = datatmsp.dropna(thresh=half_count, axis=1)\n",
    "\n",
    "datatmsp = datatmsp.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comment_url</th>\n",
       "      <th>detail_url</th>\n",
       "      <th>i2iTags</th>\n",
       "      <th>icon</th>\n",
       "      <th>item_loc</th>\n",
       "      <th>nick</th>\n",
       "      <th>nid</th>\n",
       "      <th>p4pTags</th>\n",
       "      <th>pic_url</th>\n",
       "      <th>pid</th>\n",
       "      <th>raw_title</th>\n",
       "      <th>shopLink</th>\n",
       "      <th>shopcard</th>\n",
       "      <th>title</th>\n",
       "      <th>user_id</th>\n",
       "      <th>view_fee</th>\n",
       "      <th>view_price</th>\n",
       "      <th>view_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://click.simba.taobao.com/cc_im?p=%C9%B3%...</td>\n",
       "      <td>https://click.simba.taobao.com/cc_im?p=%C9%B3%...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[{'title': '掌柜热卖宝贝', 'url': '//re.taobao.com/s...</td>\n",
       "      <td>广东 佛山</td>\n",
       "      <td>林氏木业家具旗舰店</td>\n",
       "      <td>556041494716</td>\n",
       "      <td>NaN</td>\n",
       "      <td>//g-search1.alicdn.com/img/bao/uploaded/i4/img...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>北欧风格小户型实木架客厅L型布艺沙发组合</td>\n",
       "      <td>https://click.simba.taobao.com/cc_im?p=%C9%B3%...</td>\n",
       "      <td>{'isTmall': True, 'delivery': [0, 1, 2007], 's...</td>\n",
       "      <td>林氏木业&lt;span class=H&gt;沙发&lt;/span&gt;北欧家具小户型实木框客厅现代简约布艺&lt;...</td>\n",
       "      <td>143584903</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3480.0</td>\n",
       "      <td>328人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50020633.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=528317610670&amp;ad...</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=528317610670&amp;ad...</td>\n",
       "      <td>{'samestyle': {'url': '/search?type=samestyle&amp;...</td>\n",
       "      <td>[{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...</td>\n",
       "      <td>广东 佛山</td>\n",
       "      <td>凯哲家具旗舰店</td>\n",
       "      <td>528317610670</td>\n",
       "      <td>[]</td>\n",
       "      <td>//g-search3.alicdn.com/img/bao/uploaded/i4/i3/...</td>\n",
       "      <td>-1.038122e+09</td>\n",
       "      <td>凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合</td>\n",
       "      <td>//store.taobao.com/shop/view_shop.htm?user_num...</td>\n",
       "      <td>{'isTmall': True, 'totalRate': 10000, 'deliver...</td>\n",
       "      <td>凯哲家具欧式真皮&lt;span class=H&gt;沙发&lt;/span&gt; 头层牛皮雕花实木客厅整装转角...</td>\n",
       "      <td>867828093</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7400.0</td>\n",
       "      <td>111人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50020633.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=534013594681&amp;ad...</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=534013594681&amp;ad...</td>\n",
       "      <td>{'samestyle': {'url': '/search?type=samestyle&amp;...</td>\n",
       "      <td>[{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...</td>\n",
       "      <td>广东 佛山</td>\n",
       "      <td>雅居汇旗舰店</td>\n",
       "      <td>534013594681</td>\n",
       "      <td>[]</td>\n",
       "      <td>//g-search2.alicdn.com/img/bao/uploaded/i4/i2/...</td>\n",
       "      <td>-1.255613e+09</td>\n",
       "      <td>雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发</td>\n",
       "      <td>//store.taobao.com/shop/view_shop.htm?user_num...</td>\n",
       "      <td>{'isTmall': True, 'totalRate': 10000, 'deliver...</td>\n",
       "      <td>雅居汇 欧式真皮转角&lt;span class=H&gt;沙发&lt;/span&gt;实木雕花客厅家具组合美式真...</td>\n",
       "      <td>1696287283</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18800.0</td>\n",
       "      <td>25人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50020633.0</td>\n",
       "      <td>868.0</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=45828269874&amp;ns=...</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=45828269874&amp;ns=...</td>\n",
       "      <td>{'samestyle': {'url': ''}, 'similar': {'url': ...</td>\n",
       "      <td>[{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...</td>\n",
       "      <td>广东 江门</td>\n",
       "      <td>斯帝罗兰家具旗舰店</td>\n",
       "      <td>45828269874</td>\n",
       "      <td>[]</td>\n",
       "      <td>//g-search1.alicdn.com/img/bao/uploaded/i4/i3/...</td>\n",
       "      <td>-1.774408e+09</td>\n",
       "      <td>斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具</td>\n",
       "      <td>//store.taobao.com/shop/view_shop.htm?user_num...</td>\n",
       "      <td>{'isTmall': True, 'totalRate': 10000, 'deliver...</td>\n",
       "      <td>斯帝罗兰简约现代真皮&lt;span class=H&gt;沙发&lt;/span&gt;组合整装客厅转角头层牛皮三...</td>\n",
       "      <td>2485585242</td>\n",
       "      <td>800.0</td>\n",
       "      <td>8699.0</td>\n",
       "      <td>93人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50020632.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=560306420180&amp;ns...</td>\n",
       "      <td>//detail.tmall.com/item.htm?id=560306420180&amp;ns...</td>\n",
       "      <td>{'samestyle': {'url': '/search?type=samestyle&amp;...</td>\n",
       "      <td>[{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...</td>\n",
       "      <td>浙江 杭州</td>\n",
       "      <td>kuka顾家家居旗舰店</td>\n",
       "      <td>560306420180</td>\n",
       "      <td>[]</td>\n",
       "      <td>//g-search3.alicdn.com/img/bao/uploaded/i4/i3/...</td>\n",
       "      <td>-1.912232e+09</td>\n",
       "      <td>!【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037</td>\n",
       "      <td>//store.taobao.com/shop/view_shop.htm?user_num...</td>\n",
       "      <td>{'isTmall': True, 'totalRate': 10000, 'deliver...</td>\n",
       "      <td>!【新款】现顾家kuka北欧布艺&lt;span class=H&gt;沙发&lt;/span&gt;客厅大小户型现...</td>\n",
       "      <td>2096542875</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2999.0</td>\n",
       "      <td>142人付款</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     category  comment_count  \\\n",
       "0         NaN            NaN   \n",
       "1  50020633.0          430.0   \n",
       "2  50020633.0          434.0   \n",
       "3  50020633.0          868.0   \n",
       "4  50020632.0           81.0   \n",
       "\n",
       "                                         comment_url  \\\n",
       "0  https://click.simba.taobao.com/cc_im?p=%C9%B3%...   \n",
       "1  //detail.tmall.com/item.htm?id=528317610670&ad...   \n",
       "2  //detail.tmall.com/item.htm?id=534013594681&ad...   \n",
       "3  //detail.tmall.com/item.htm?id=45828269874&ns=...   \n",
       "4  //detail.tmall.com/item.htm?id=560306420180&ns...   \n",
       "\n",
       "                                          detail_url  \\\n",
       "0  https://click.simba.taobao.com/cc_im?p=%C9%B3%...   \n",
       "1  //detail.tmall.com/item.htm?id=528317610670&ad...   \n",
       "2  //detail.tmall.com/item.htm?id=534013594681&ad...   \n",
       "3  //detail.tmall.com/item.htm?id=45828269874&ns=...   \n",
       "4  //detail.tmall.com/item.htm?id=560306420180&ns...   \n",
       "\n",
       "                                             i2iTags  \\\n",
       "0                                                NaN   \n",
       "1  {'samestyle': {'url': '/search?type=samestyle&...   \n",
       "2  {'samestyle': {'url': '/search?type=samestyle&...   \n",
       "3  {'samestyle': {'url': ''}, 'similar': {'url': ...   \n",
       "4  {'samestyle': {'url': '/search?type=samestyle&...   \n",
       "\n",
       "                                                icon item_loc         nick  \\\n",
       "0  [{'title': '掌柜热卖宝贝', 'url': '//re.taobao.com/s...    广东 佛山    林氏木业家具旗舰店   \n",
       "1  [{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...    广东 佛山      凯哲家具旗舰店   \n",
       "2  [{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...    广东 佛山       雅居汇旗舰店   \n",
       "3  [{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...    广东 江门    斯帝罗兰家具旗舰店   \n",
       "4  [{'title': '尚天猫，就购了', 'url': '//www.tmall.com/...    浙江 杭州  kuka顾家家居旗舰店   \n",
       "\n",
       "            nid p4pTags                                            pic_url  \\\n",
       "0  556041494716     NaN  //g-search1.alicdn.com/img/bao/uploaded/i4/img...   \n",
       "1  528317610670      []  //g-search3.alicdn.com/img/bao/uploaded/i4/i3/...   \n",
       "2  534013594681      []  //g-search2.alicdn.com/img/bao/uploaded/i4/i2/...   \n",
       "3   45828269874      []  //g-search1.alicdn.com/img/bao/uploaded/i4/i3/...   \n",
       "4  560306420180      []  //g-search3.alicdn.com/img/bao/uploaded/i4/i3/...   \n",
       "\n",
       "            pid                           raw_title  \\\n",
       "0           NaN                北欧风格小户型实木架客厅L型布艺沙发组合   \n",
       "1 -1.038122e+09       凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合   \n",
       "2 -1.255613e+09      雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发   \n",
       "3 -1.774408e+09      斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具   \n",
       "4 -1.912232e+09  !【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037   \n",
       "\n",
       "                                            shopLink  \\\n",
       "0  https://click.simba.taobao.com/cc_im?p=%C9%B3%...   \n",
       "1  //store.taobao.com/shop/view_shop.htm?user_num...   \n",
       "2  //store.taobao.com/shop/view_shop.htm?user_num...   \n",
       "3  //store.taobao.com/shop/view_shop.htm?user_num...   \n",
       "4  //store.taobao.com/shop/view_shop.htm?user_num...   \n",
       "\n",
       "                                            shopcard  \\\n",
       "0  {'isTmall': True, 'delivery': [0, 1, 2007], 's...   \n",
       "1  {'isTmall': True, 'totalRate': 10000, 'deliver...   \n",
       "2  {'isTmall': True, 'totalRate': 10000, 'deliver...   \n",
       "3  {'isTmall': True, 'totalRate': 10000, 'deliver...   \n",
       "4  {'isTmall': True, 'totalRate': 10000, 'deliver...   \n",
       "\n",
       "                                               title     user_id  view_fee  \\\n",
       "0  林氏木业<span class=H>沙发</span>北欧家具小户型实木框客厅现代简约布艺<...   143584903       0.0   \n",
       "1  凯哲家具欧式真皮<span class=H>沙发</span> 头层牛皮雕花实木客厅整装转角...   867828093       0.0   \n",
       "2  雅居汇 欧式真皮转角<span class=H>沙发</span>实木雕花客厅家具组合美式真...  1696287283       0.0   \n",
       "3  斯帝罗兰简约现代真皮<span class=H>沙发</span>组合整装客厅转角头层牛皮三...  2485585242     800.0   \n",
       "4  !【新款】现顾家kuka北欧布艺<span class=H>沙发</span>客厅大小户型现...  2096542875       0.0   \n",
       "\n",
       "   view_price view_sales  \n",
       "0      3480.0     328人付款  \n",
       "1      7400.0     111人付款  \n",
       "2     18800.0      25人付款  \n",
       "3      8699.0      93人付款  \n",
       "4      2999.0     142人付款  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datatmsp.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据需求，本案例 item_loc, raw_title, view_price, view_sales  标题，区域，价格，销量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_loc</th>\n",
       "      <th>raw_title</th>\n",
       "      <th>view_price</th>\n",
       "      <th>view_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>广东 佛山</td>\n",
       "      <td>北欧风格小户型实木架客厅L型布艺沙发组合</td>\n",
       "      <td>3480.0</td>\n",
       "      <td>328人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>广东 佛山</td>\n",
       "      <td>凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合</td>\n",
       "      <td>7400.0</td>\n",
       "      <td>111人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>广东 佛山</td>\n",
       "      <td>雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发</td>\n",
       "      <td>18800.0</td>\n",
       "      <td>25人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>广东 江门</td>\n",
       "      <td>斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具</td>\n",
       "      <td>8699.0</td>\n",
       "      <td>93人付款</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙江 杭州</td>\n",
       "      <td>!【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037</td>\n",
       "      <td>2999.0</td>\n",
       "      <td>142人付款</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  item_loc                           raw_title  view_price view_sales\n",
       "0    广东 佛山                北欧风格小户型实木架客厅L型布艺沙发组合      3480.0     328人付款\n",
       "1    广东 佛山       凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合      7400.0     111人付款\n",
       "2    广东 佛山      雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发     18800.0      25人付款\n",
       "3    广东 江门      斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具      8699.0      93人付款\n",
       "4    浙江 杭州  !【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037      2999.0     142人付款"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = datatmsp[\n",
    "    ['item_loc', 'raw_title', 'view_price', 'view_sales']\n",
    "]\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  after removing the cwd from sys.path.\n",
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "item_loc       object\n",
       "raw_title      object\n",
       "view_price    float64\n",
       "view_sales     object\n",
       "province       object\n",
       "city           object\n",
       "sales          object\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对城市进行分割，把省份和城市区别\n",
    "# 对销售额进行\n",
    "data['province'] = data.item_loc.apply(lambda x:x.split()[0])\n",
    "data['city'] = data.item_loc.apply(lambda x:x.split()[0] if len(x)<4 else x.split()[1])\n",
    "\n",
    "data['sales'] = data.view_sales.apply(lambda x:x.split('人')[0])\n",
    "\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  after removing the cwd from sys.path.\n"
     ]
    }
   ],
   "source": [
    "data['sales'] = data.sales.astype('int')\n",
    "list_col = ['province', 'city']\n",
    "for i in list_col:\n",
    "    data[i] = data[i].astype('category')\n",
    "    \n",
    "data = data.drop(['item_loc', 'view_sales'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_title</th>\n",
       "      <th>view_price</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>北欧风格小户型实木架客厅L型布艺沙发组合</td>\n",
       "      <td>3480.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合</td>\n",
       "      <td>7400.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发</td>\n",
       "      <td>18800.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具</td>\n",
       "      <td>8699.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>江门</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>!【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037</td>\n",
       "      <td>2999.0</td>\n",
       "      <td>浙江</td>\n",
       "      <td>杭州</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            raw_title  view_price province city  sales\n",
       "0                北欧风格小户型实木架客厅L型布艺沙发组合      3480.0       广东   佛山    328\n",
       "1       凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合      7400.0       广东   佛山    111\n",
       "2      雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发     18800.0       广东   佛山     25\n",
       "3      斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具      8699.0       广东   江门     93\n",
       "4  !【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037      2999.0       浙江   杭州    142"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据挖掘和分析\n",
    "使用jieba\n",
    "\n",
    "对列标题进行文本分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n",
      "Loading model from cache /tmp/jieba.cache\n",
      "Loading model cost 0.644 seconds.\n",
      "Prefix dict has been built succesfully.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>沙发</td>\n",
       "      <td>2897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>组合</td>\n",
       "      <td>2800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>客厅</td>\n",
       "      <td>2570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>小户型</td>\n",
       "      <td>2348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>简约</td>\n",
       "      <td>1908</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  word  count\n",
       "0   沙发   2897\n",
       "1   组合   2800\n",
       "2   客厅   2570\n",
       "3  小户型   2348\n",
       "4   简约   1908"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title = data.raw_title.values.tolist()\n",
    "import jieba\n",
    "title_s = []\n",
    "for line in title:\n",
    "    title_cut = jieba.lcut(line)\n",
    "    title_s.append(title_cut)\n",
    "    \n",
    "# 剔除不需要的单词，使用停用表\n",
    "stopwords = pd.read_excel('./data/stopwords.xlsx')\n",
    "stopwords = stopwords.stopword.values.tolist()\n",
    "\n",
    "title_clean = []\n",
    "for line in title_s:\n",
    "    line_clean = []\n",
    "    for word in line:\n",
    "        if word not in stopwords:\n",
    "            line_clean.append(word)\n",
    "    title_clean.append(line_clean)\n",
    "    \n",
    "# 统计每个词语的个数，先去重\n",
    "title_clean_dist = []\n",
    "for line in title_clean:\n",
    "    line_dist = []\n",
    "    for word in line:\n",
    "        if word not in line_dist:\n",
    "            line_dist.append(word)\n",
    "    title_clean_dist.append(line_dist)\n",
    "    \n",
    "# 将所有词转换为一个list\n",
    "allwords_clean_dist = []\n",
    "for line in title_clean_dist:\n",
    "    for word in line:\n",
    "        allwords_clean_dist.append(word)\n",
    "        \n",
    "# 将所有词语转换数据框\n",
    "df_allwords_clean_dist = pd.DataFrame({\n",
    "    'allwords': allwords_clean_dist\n",
    "})\n",
    "\n",
    "word_count = df_allwords_clean_dist.allwords.value_counts().reset_index()\n",
    "word_count.columns = ['word', 'count']\n",
    "word_count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 词云可视化\n",
    "\n",
    "需要wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:6: DeprecationWarning: `imread` is deprecated!\n",
      "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n",
      "Use ``imageio.imread`` instead.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73a1e582b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.misc import imread\n",
    "plt.figure(figsize=(20,10))\n",
    "\n",
    "pic = imread(\"./images/shafa.jpg\")\n",
    "w_c = WordCloud(font_path=\"./data/simhei.ttf\",\n",
    "               background_color='white',\n",
    "               mask=pic,\n",
    "               max_font_size=60,\n",
    "               margin=1)\n",
    "wc = w_c.fit_words({\n",
    "    x[0]:x[1] for x in word_count.head(100).values\n",
    "})\n",
    "\n",
    "plt.imshow(wc, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "分析结论:\n",
    "1. 客厅、组合、沙发、整装商品占比很高\n",
    "2. 从沙发材质 布艺沙发占比高\n",
    "3. 从沙发风格看，简约风格最多\n",
    "4. 从户型看，小户型\n",
    "\n",
    "## 不同关键词对应sales进统计分析\n",
    ">例如，词语简约，则统计商品中含有简约一词的商品的销售之和"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "w_s_sum = []\n",
    "for w in word_count.word:\n",
    "    i = 0\n",
    "    s_list = []\n",
    "    for t in title_clean_dist:\n",
    "        if w in t:\n",
    "            try:\n",
    "                s_list.append(data.sales[i])\n",
    "            except:\n",
    "                s_list.append(0)\n",
    "        i += 1\n",
    "    w_s_sum.append(sum(s_list))\n",
    "    \n",
    "df_w_s_sum = pd.DataFrame({'w_s_sum':w_s_sum})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>w_s_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>354926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>347685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>342496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>314679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>275670</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   w_s_sum\n",
       "0   354926\n",
       "1   347685\n",
       "2   342496\n",
       "3   314679\n",
       "4   275670"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_w_s_sum.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>沙发</td>\n",
       "      <td>2897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>组合</td>\n",
       "      <td>2800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>客厅</td>\n",
       "      <td>2570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>小户型</td>\n",
       "      <td>2348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>简约</td>\n",
       "      <td>1908</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  word  count\n",
       "0   沙发   2897\n",
       "1   组合   2800\n",
       "2   客厅   2570\n",
       "3  小户型   2348\n",
       "4   简约   1908"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_count.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_word_sum = pd.concat([word_count, df_w_s_sum],\n",
    "                        axis=1,\n",
    "                        ignore_index=True)\n",
    "df_word_sum.columns = ['word', 'count', 'w_s_sum']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>count</th>\n",
       "      <th>w_s_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>沙发</td>\n",
       "      <td>2897</td>\n",
       "      <td>354926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>组合</td>\n",
       "      <td>2800</td>\n",
       "      <td>347685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>客厅</td>\n",
       "      <td>2570</td>\n",
       "      <td>342496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>小户型</td>\n",
       "      <td>2348</td>\n",
       "      <td>314679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>简约</td>\n",
       "      <td>1908</td>\n",
       "      <td>275670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>布艺沙发</td>\n",
       "      <td>1711</td>\n",
       "      <td>246148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>整装</td>\n",
       "      <td>1508</td>\n",
       "      <td>241084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>家具</td>\n",
       "      <td>1164</td>\n",
       "      <td>179426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>转角</td>\n",
       "      <td>1129</td>\n",
       "      <td>161985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>实木</td>\n",
       "      <td>1037</td>\n",
       "      <td>85924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>拆洗</td>\n",
       "      <td>1017</td>\n",
       "      <td>172892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>北欧</td>\n",
       "      <td>980</td>\n",
       "      <td>113124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td></td>\n",
       "      <td>876</td>\n",
       "      <td>117483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>真皮沙发</td>\n",
       "      <td>672</td>\n",
       "      <td>85379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>欧式</td>\n",
       "      <td>669</td>\n",
       "      <td>53565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>三人</td>\n",
       "      <td>605</td>\n",
       "      <td>73091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>美式</td>\n",
       "      <td>564</td>\n",
       "      <td>51658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>中式</td>\n",
       "      <td>514</td>\n",
       "      <td>35921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>贵妃</td>\n",
       "      <td>476</td>\n",
       "      <td>44932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>头层</td>\n",
       "      <td>439</td>\n",
       "      <td>63404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>新</td>\n",
       "      <td>435</td>\n",
       "      <td>32108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>牛皮</td>\n",
       "      <td>429</td>\n",
       "      <td>62568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>双人</td>\n",
       "      <td>368</td>\n",
       "      <td>40741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>客厅家具</td>\n",
       "      <td>367</td>\n",
       "      <td>33210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>单人</td>\n",
       "      <td>364</td>\n",
       "      <td>38327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>三人位</td>\n",
       "      <td>326</td>\n",
       "      <td>33263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>皮艺</td>\n",
       "      <td>300</td>\n",
       "      <td>33529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>布</td>\n",
       "      <td>278</td>\n",
       "      <td>52697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>乳胶</td>\n",
       "      <td>274</td>\n",
       "      <td>32451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>布艺</td>\n",
       "      <td>271</td>\n",
       "      <td>28038</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    word  count  w_s_sum\n",
       "0     沙发   2897   354926\n",
       "1     组合   2800   347685\n",
       "2     客厅   2570   342496\n",
       "3    小户型   2348   314679\n",
       "4     简约   1908   275670\n",
       "5   布艺沙发   1711   246148\n",
       "6     整装   1508   241084\n",
       "7     家具   1164   179426\n",
       "8     转角   1129   161985\n",
       "9     实木   1037    85924\n",
       "10    拆洗   1017   172892\n",
       "11    北欧    980   113124\n",
       "12          876   117483\n",
       "13  真皮沙发    672    85379\n",
       "14    欧式    669    53565\n",
       "15    三人    605    73091\n",
       "16    美式    564    51658\n",
       "17    中式    514    35921\n",
       "18    贵妃    476    44932\n",
       "19    头层    439    63404\n",
       "20     新    435    32108\n",
       "21    牛皮    429    62568\n",
       "22    双人    368    40741\n",
       "23  客厅家具    367    33210\n",
       "24    单人    364    38327\n",
       "25   三人位    326    33263\n",
       "26    皮艺    300    33529\n",
       "27     布    278    52697\n",
       "28    乳胶    274    32451\n",
       "29    布艺    271    28038"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_word_sum.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可视化数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f736a43ab00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_word_sum.sort_values('w_s_sum',\n",
    "                       inplace=True,\n",
    "                       ascending=True)\n",
    "df_w_s = df_word_sum.tail(30)\n",
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "font = matplotlib.font_manager.FontProperties(fname='./data/simhei.ttf')\n",
    "\n",
    "index = np.arange(df_w_s.word.size)\n",
    "\n",
    "plt.figure(figsize=(6,12))\n",
    "plt.barh(index,\n",
    "         df_w_s.w_s_sum,\n",
    "         color='blue', \n",
    "         align='center',\n",
    "         alpha=0.8)\n",
    "\n",
    "plt.yticks(index,  list(df_w_s.word), fontproperties=font)\n",
    "\n",
    "for y,x in zip(index, df_w_s.w_s_sum):\n",
    "    plt.text(x,y,\"%.0f\" %x, ha='left', va='center')\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 商品的价格分布情况分析\n",
    "\n",
    "分析价格小于20000的商品\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_title</th>\n",
       "      <th>view_price</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>北欧风格小户型实木架客厅L型布艺沙发组合</td>\n",
       "      <td>3480.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合</td>\n",
       "      <td>7400.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发</td>\n",
       "      <td>18800.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具</td>\n",
       "      <td>8699.0</td>\n",
       "      <td>广东</td>\n",
       "      <td>江门</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>!【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037</td>\n",
       "      <td>2999.0</td>\n",
       "      <td>浙江</td>\n",
       "      <td>杭州</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            raw_title  view_price province city  sales\n",
       "0                北欧风格小户型实木架客厅L型布艺沙发组合      3480.0       广东   佛山    328\n",
       "1       凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合      7400.0       广东   佛山    111\n",
       "2      雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发     18800.0       广东   佛山     25\n",
       "3      斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具      8699.0       广东   江门     93\n",
       "4  !【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037      2999.0       浙江   杭州    142"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73a2233358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_p = data[data['view_price'] < 20000]\n",
    "\n",
    "plt.figure(figsize=(7, 5))\n",
    "plt.hist(data_p['view_price'], bins=15, color='purple')\n",
    "plt.xlabel(u'价格', fontproperties=font)\n",
    "plt.ylabel(u'商品数量', fontproperties=font)\n",
    "plt.title(u'不同价格对应的商品数据分布', fontproperties=font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 由图表可知：商品数量随着价格总体呈现下降阶梯形势，价格越高，在售的商品越少"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 商品的销量分布情况分析  \n",
    "同样，为了使可视化效果更加直观，这里我们选择销量大于100的商品"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "销量100以上的商品占比 : 0.271\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73a0bee358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_s = data[(data['sales'] > 100) & (data['sales'] < 2000)]\n",
    "print(u'销量100以上的商品占比 : %0.3f' % (len(data_s)/len(data)))\n",
    "\n",
    "plt.figure(figsize=(7, 5))\n",
    "plt.hist(data_s['sales'], bins=20, color='blue')\n",
    "plt.xlabel(u'销量', fontproperties=font)\n",
    "plt.ylabel(u'商品数量', fontproperties=font)\n",
    "plt.title(u'不同销量对应的商品数据分布', fontproperties=font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据图表可知:\n",
    "1. 销量100以上的商品仅占3.4%,其中销量100-200商品最多，200-300次之\n",
    "2. 销量100-500之间，商品的数量随着销量呈现下降趋势，且趋势陡峭，低销量商品居多；\n",
    "3. 销量750以上的商品很少。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 不同价格区间的商品平均销量分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>group</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(39.999, 490.0]</td>\n",
       "      <td>331.904437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(490.0, 888.0]</td>\n",
       "      <td>141.583618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(888.0, 1198.0]</td>\n",
       "      <td>244.261168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(1198.0, 1580.0]</td>\n",
       "      <td>184.880368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(1580.0, 1891.0]</td>\n",
       "      <td>158.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(1891.0, 2368.0]</td>\n",
       "      <td>99.013559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(2368.0, 2880.0]</td>\n",
       "      <td>141.297659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(2880.0, 3480.0]</td>\n",
       "      <td>116.955782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(3480.0, 4180.0]</td>\n",
       "      <td>59.924460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(4180.0, 5300.0]</td>\n",
       "      <td>38.013378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(5300.0, 7290.0]</td>\n",
       "      <td>36.003509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(7290.0, 99002.0]</td>\n",
       "      <td>27.580756</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                group       sales\n",
       "0     (39.999, 490.0]  331.904437\n",
       "1      (490.0, 888.0]  141.583618\n",
       "2     (888.0, 1198.0]  244.261168\n",
       "3    (1198.0, 1580.0]  184.880368\n",
       "4    (1580.0, 1891.0]  158.511628\n",
       "5    (1891.0, 2368.0]   99.013559\n",
       "6    (2368.0, 2880.0]  141.297659\n",
       "7    (2880.0, 3480.0]  116.955782\n",
       "8    (3480.0, 4180.0]   59.924460\n",
       "9    (4180.0, 5300.0]   38.013378\n",
       "10   (5300.0, 7290.0]   36.003509\n",
       "11  (7290.0, 99002.0]   27.580756"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['price'] = data.view_price.astype('int')\n",
    "data['group'] = pd.qcut(data.price, 12)\n",
    "df_group = data.group.value_counts().reset_index()\n",
    "\n",
    "df_s_g = data[\n",
    "    ['sales','group']\n",
    "].groupby('group').mean().reset_index()\n",
    "\n",
    "df_s_g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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St+fv5ny7kq59FlhggXoONcYYYz5S9KRGP66RC5SJby4EzomIi8rqZyXNGxFPF9f8c2X9k8DoyuHzl3WTEBGnAKcAjB07tq5CgjHGGPNRYqqGPiLOmto+3aGsup8GPBgRx1Y2XQrsABxRvi+prN9L0nnAisArFRe/McYYY+qkx230kkYC/wcsAcxQWx8Ra0/hsFXJWe7ulXR3WXcwaeDPl7QT8Biwddl2ObARMB54E9ixp/qMMcYYMzk9NvTAOcDvgY3JCPwdgAlTOiAi/gGom83rdLF/MJVIfmOMMcb0nHq6180ZEacB70XE9RHxNWBKtXljjDHG9DP11OjfK99PS9oYeAqYo/mSjDHGGNMs6jH0P5Y0G7A/8AtgVmC/lqgyxhhjTFOoZ8CcP5fFV4C1WiPHGGOMMc2knmlqj5I0axnn/hpJEyR9pZXijOmM1HcfY4xpB+oJxlsvIl4FPgc8CiwCfKsVoowxxhjTHOox9DU3/8bABRHxSgv0GGOMMaaJ1BOM92dJ/wLeAvYoA+i83RpZxhhjjGkGPa7RR8SBwCrA2Ih4jxy5brPadkmfbb48Y4wxxjRCPa57IuLFiJhYlt+IiGcqm49sqjJjjDHGNExdhn4qOE7ZGGOMGWA009B7ulhjjDFmgNFMQ2+MMcaYAUYzDf2jTTyXMcYYY5pAPd3rkLQKMKZ6XEScXb63aKoyY4wxxjRMjw29pN8ACwN3AxPL6gDOboEuY4wxxjSBemr0Y4ElIsJBd8YYY8w0Qj1t9PcB87RKiDHGGGOaTz01+hHAA5JuA96prYyITZuuyhhjjDFNoR5Df2irRBhjjDGmNfTY0EfE9a0UYowxxpjm0+M2ekkrSbpd0uuS3pU0UdKrrRRnzEBF6ruPMcY0Qj3BeCcA2wIPATMCOwO/nNIBkk6X9Jyk+yrrDpX0pKS7y2ejyraDJI2X9G9J69f3V4wxxhjTmXpnrxsPDI6IiRFxBrDBVA45s5t9jouIZcvncgBJSwDbAEuWY06UNLgefcYYY4yZlHqC8d6UNBS4W9JRwNNMpaAQETdIGtPD828GnBcR7wD/lTQeWAG4uQ6NxhhjjKlQT41+u7L/XsAbwGhgy15edy9J9xTX/vCybhTweGWfJ8o6Y4wxxvSSHhv6iHiMnHN+3oj4QUR8s7jy6+UkcijdZUmvwDH1nkDSrpLGSRo3YcKEXkgwxhhjPhrUE3W/CTnO/ZXl97KSLq33ghHxbGnj/wD4NemeB3iS9BLUmL+s6+ocp0TE2IgYO3LkyHolGGOMMR8Z6nHdH0oa5ZcBIuJuYKF6Lyhp3srPzcmhdQEuBbaRNL2khYBFgdvqPb8xxhhjOqgnGO+9iHhFk3bsneIEN5J+B6wJjJD0BHAIsKakZcuxjwK7AUTE/ZLOBx4A3gf2jIiJXZ3XGGOMMT2jHkN/v6QvAYMlLQrsDdw0pQMiYtsuVp82hf0PAw6rQ5MxxhhjpkA9rvtvkH3c3wHOBV4B9mmFKJN49DVjjDGNUo+hX6J8hgAzkP3eb2+FKGPMtIcLpsYMTOpx3Z8DHEAGz33QGjnGGGOMaSb1GPoJEfGnlikxxhhjTNOpx9AfIulU4BqynR6AiLio6aqMMcYY0xTqMfQ7AosD09Hhug/Aht4YY4wZoNRj6D8dEYu1TIkxxhhjmk49Ufc3lalkjTHGGDONUE+NfiVyitr/km30AiIilm6JMmOMMcY0TD2GfoOWqTDGGGNMS+ixoS/T1BpjjDFmGqKeNnpjjDHGTGPY0BtjjDFtjA29McYY08bY0BtjjDFtjA29McYY08bU073OGGMGPH09jW1E317PmHpxjd4YY4xpY2zojTHGmDbGht4YY4xpY2zojTHGmDbGht4YY4xpY1pq6CWdLuk5SfdV1s0h6WpJD5Xv4WW9JP1c0nhJ90havpXajDHGmI8Cra7Rn8nks94dCFwTEYsC15TfABsCi5bPrsBJLdZmjDHGtD0tNfQRcQPwYqfVmwFnleWzgM9X1p8dyS3A7JLmbaU+Y4wxpt3pjzb6uSPi6bL8DDB3WR4FPF7Z74myzhhjjDG9pF+D8SIigLrHlZK0q6RxksZNmDChBcqMMcaY9qA/DP2zNZd8+X6urH8SGF3Zb/6ybjIi4pSIGBsRY0eOHNlSscYMZKS+/Rhjpj36w9BfCuxQlncALqms375E368EvFJx8RtjjDGmF7R0UhtJvwPWBEZIegI4BDgCOF/STsBjwNZl98uBjYDxwJvAjq3UZowxxnwUaKmhj4htu9m0Thf7BrBnK/UYY4wxHzU8Mp4xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW2MDb0xxhjTxtjQG2OMMW3MkP4WYIwx7YrUd9eK6LtrmWkL1+iNMcaYNsaG3hhjjGlj+s11L+lR4DVgIvB+RIyVNAfwe2AM8CiwdUS81F8ajTHGmGmd/q7RrxURy0bE2PL7QOCaiFgUuKb8NsYYY0wv6W9D35nNgLPK8lnA5/tRizHGGDPN05+GPoC/SLpD0q5l3dwR8XRZfgaYu6sDJe0qaZykcRMmTOgLrcYYY8w0SX92r1stIp6UNBdwtaR/VTdGREjqssNIRJwCnAIwduxYdyoxxhhjuqHfavQR8WT5fg64GFgBeFbSvADl+7n+0meMMca0A/1i6CUNkzRLbRlYD7gPuBTYoey2A3BJf+gzxhhj2oX+ct3PDVysHDZqCHBuRFwp6XbgfEk7AY8BW/eTPmOMMaYt6BdDHxGPAMt0sf4FYJ2+V2SMMca0JwOte50xxhhjmogNvTHGGNPGePY6Y4xpczyL3kcbG3pjjDF9Ql8WOMCFjhp23RtjjDFtjA29McYY08bY0BtjjDFtjA29McYY08Y4GM8YY8xHjo9STwTX6I0xxpg2xobeGGOMaWNs6I0xxpg2xobeGGOMaWNs6I0xxpg2xobeGGOMaWNs6I0xxpg2xobeGGOMaWNs6I0xxpg2xobeGGOMaWNs6I0xxpg2xobeGGOMaWNs6I0xxpg2ZsAZekkbSPq3pPGSDuxvPcYYY8y0zIAy9JIGA78ENgSWALaVtET/qjLGGGOmXQaUoQdWAMZHxCMR8S5wHrBZP2syxhhjplkGmqEfBTxe+f1EWWeMMcaYXjCkvwX0Bkm7AruWn69L+nd/6imMAJ6v9yCpBUp6oWWg6ICWaBkoOsD3piucJgNTB/jeDFQdAAv2dMeBZuifBEZXfs9f1k1CRJwCnNJXonqCpHERMba/dcDA0WIdkzNQtAwUHTBwtFjH5AwULdbRGAPNdX87sKikhSQNBbYBLu1nTcYYY8w0y4Cq0UfE+5L2Aq4CBgOnR8T9/SzLGGOMmWYZUIYeICIuBy7vbx29YCA1JQwULdYxOQNFy0DRAQNHi3VMzkDRYh0NoIjobw3GGGOMaREDrY3eTANILYohbSMkTd/fGmoMFC2SputvDTXK4Fz9jnVMzgB6Xof1t4ZmYUM/jSFpaUlr9NO1JWkr4EBJH+sPDV0habSkuftbB4CkmST9APiFpNmtBSTNLOn7wLclzdxfOipavgNs058GxTq61DJQntcZJB0JXCVpeH/pqCJpiKRtJc3Vm+Nt6KcRJA2VdBhwALBTP5U2vwh8FngIWElSvz4/koZJugw4CvjsAKkxfh24Cbge2N1aAPguORDWo/T/SJdHAh8AAaxkHQNGBwyc53Ud4E/ACcBO/agDgFKJ+TWwOR3jx9R3DrfRTztI+lhEPCJpR2DWiPhZH1xTwKCImFhZtxCwFnBfRNzWag1T0DYI+CQ51sKGwCMRcVM/6BD5Ln0gSVFeKkmnAMdHxAMfNS1VHZV1Y4DtgbMi4rG+0DEFLWsAiwCXRsQE6+h7HZ21DIDnlYiITjp+DRzXl+9wVVPRMyvwTkS8I+mXwKkRcVc953KNfgBTbQuXNCgiHik/zwOWkrRwqzVEMlHSLJUa/AtkDW3J8hD2GVUvQkR8EBH3AG8CzwKL94erraTRB5JGAzNWNv0B+NpHUUtFx5wVT8szwD+BTfpKRycts1TeqUfJ52ZF6+gfHZ20DITnNSStAMzRXzpqlPy+Vgt/IyLeqejZod7z2dAPYCqlyr2AH0n6eFn/Fula2rnVGiQNKqXIK4HDJY2KiFeBR4D36fuM4YOiaydJq0qaraTHeOAd+sH9KGl+SdcDJwFn1AKbIuIvZft6HzUtkhaUdBNwMjkjJRHxNnAjMLOkT/eFjqLlY0XLL8lmBIpH4RFgnr4oMFtHt1r6/XlVMkLSRcBxwMmS1ik6riq79Nk7XK77gaSRko4Hfixp3rL+WuAtSXU1gdnQD3AkfQ/YAniVDFJZHyAiLgFmUusD8z4FzAZsBUwPnFXW/5fMGBaU1GcTD5VYhTOAHcmRE39bNj1a9IyS1OMxoJvEksBDEfE5slby3dK8AXAGsFXVO/MR0bIa8I+I+AKwnKT9JQ2NiOfJdth1+0BDzSu2OTnC5reBL0uqtf+OJ71TLR/S1Dq6pd+f11KhGg7MFBGrAn8r1920L3VUkTQEOB14DRgKfKeW9wOnAZuqjuBJG/oBSuWhehc4MSKOBP4KbCCp9iL+hjR2rWQ0sGhEPB0R+wKjJW1batb/Ix/EvqzVjwDmi4jVIuIbZPPBTuVlfQR4Geiz2mJhKbIgBnAo8AlgeUlDysiOD9EH3pcBpmVF0uMDGUC6GZmpA9wLvCap5S788lysUhafAfYFDiieoBfIAuKwyjtlHX2go8JAeV5HAI+XSsvvybzks5JmiYj7yELQjn2go5r3Pw5cTHpdHgG2kDQiIsYD91NHoKANfT/TXSmx0j4zAliuLF8MiGyLHhIR44B/S/pKA9ef2jPwZ9JVtFX5fQT5QhIRj5Ou2HkqpfCWEhFPAbNL2qWsOgA4uGx7FvgPMKOkZZpxveLW6zKNKvfuT8BXJc0dEXeSL+FaEfF+0fVTYHU1octQd89LX2uZgo5aWp0G7CxpeERcT2bYXy0aXgL+CKygBrvblfszNS0nAZsVY3YlmWnWXNZ3Af8Clq6nhmQdPdYyIN6dHuRz/wXmAj4dES8CtwDTkROrERFHkYa2ad14p5L3T0/a50+UpsnryErfamWfY4FP9tR7aUPfj0gd0Z1dbKvdm7PJB2ypUpKbACxbexGAicDnlJMA1U2lzbu7rmkTgd8Buxe9ZwAPS1q2bD+ADK5qyrM0JfdYZdvPyH6/M0bERcDTkvYo2+4FlgAWa4arrRIsNELSiKJjUG2bMmjm38BlZAYKcCywtjLYaU5Jvyrre3WPOuuRNGNVR39oKdcbLmmmqpboiJ7+JzlnxS/LIYcAq0iaUdJI4OfA7DQ4DHcliOrDoNDafY+OqPK7SeP13fL7IGAhZTPQSOBw4GPk/BrW0QQdFS0D4t0pOhaQtHTnbeV5fQa4liwALRMRfyd7IbwlaXpJPyKbMBseB6JyP0IlJqGaVxU9bwB3kXn7IqUQNJgsfNRYGNiuRxeNCH/68UN2Uzsa2KKLbbXuj0eR7USLkm3lp5b125LtOJ9o4PqbA3eWa3ylrBvcaZ+ZyZL3z8j+rVeRD/0gMrOYpwVpsiWwWDd65iLb5o8rv78HfL4sHwNcDczfwPVr6a7yOQa4rZx36U77DirfMwB/L+lxChnLMB3Z9PGlRrVUfs9CTvY02fZWaukiTX5KtmX+Bligev3KMbORruBdgFPJ7lKQGdSuTXpWBpGFiRvJPuHzdaNlSeAJsgnhN8APyvqlgX2sozk6unhOju2Pd6eio3aNA8l87noyan2uSnrV9p2OzEvOKc/rP8g534cDazTjee2kcQ/SS7sGMEM3afjr8q6NLmmzd9m2H1l4HtqjazVbvD9TvLGdX7YVSFfzTsAdZBvQHJWbXLvhMwJ7kgE09wFrlvXDOj8cdV5/MHA82ab9ceDB6gPXad/hwP5k177Vp3buBtJkU7LGsXf5r3N1c9z8wDiyu8nDlMIOMLLBe9TZsM4KXAiDPlbnAAAgAElEQVSMBPYq/3/lzulYvhclYyZ+Acw+tXPXq6Ws+zI5bsD23d3TVmjp4lk4haxlHQBc0MU+NR0rlGf3lFakSXl2zwHmLc/y1d0dA6xPNjudBszWiBbr6JGW2frj3enmvTkPWJ5sBv05cFA3OmYg40u+042OZuVz25OVp92Av3SRLrUCyiLkIDm3AhdQKjDAjPWkTd2C/Wn8Q0cp+zPAMWV5Y7Ikvm2nfdX5uC7OV89LMBewDzn6k4DbgTHAAmT7+2QPd6PXrDNtvg+sXZaPAlYpy4Mr+9ReyhHA2GbrI0vY/wesXtLm6sqLdwJZ8xjRg/P0KlPodI61gC8Bnyy/tyHddX+heFLo5PFohRZgVdKAbFIyy4vIQtAWZO1iqunR5DTZChhV3qE7K9v+3fkd6u65aPQZto4uz7dOeXfWIAvjV/XHu1PS4YfkQFqzkIWejcka/OdJD+lKffG8Vs61ALB8Wd4MOLIsXwhsU71e53tBxUPZm/vkNvo+oNb+ImkjSbeT/SK/Qg47uZik2YArgMeAT0iapey/cJQ7Cx8Gok02AUV1n66uW/k9HDifNJAHkkPa/oAsMY4nB4q4SqWPs6RValo6nWdQd9esF0lbShon6RBJa5LBOAdIOojMvJaS9MkoI/NJmq62HBHPRwYk1rqjfEhP9XUO0pG0EtmXdgJZC32L9Kh8s+xyIRkQ855yTOxNugrQKWn0Qef1dWrZuGiYCbhY0kIRcV5E/IYMFjoAIHJAo5kkfa4ZWrrQsQDpYfk1WeC4iyxo/JQ0/rOSGXpt7PQ1pvDcNJomm5L3ZxQ5tsOjwLOSvlh2OYJ8ppE0m6Tlqu9L7bmo9xnu4l3abIDo2KQ/dNSO6fR7bdLl/QYZWzSKNG5fL7u05N3pQseKwK/IQs5+ZIF9RrJGPxNZO36R7Io7WNIekpakE6WtvK7ntXps+a61wR9IBqAeV/L+54Azy34PU3oeRMYSDCFjJKoxDU/Ufvcm77Wh7xtqIz6tQrY/7UGWbCeSAUk7lgfqGmBN4F1lsNt66iLyNSrD0U6Jyku8oHJs/OHAuIj4HlmrXzUi/kxm0ntHxK5k4N3WyiCrpchIz87n7dXD35kSMLQh2S52IXAuGeX/dWBZ0k39HtmGiKR9yTbErv7r+12tnxrlxVJ52YeS9+PsiDidDnfft4GDlF1briUDyFYs+z4fGe0/2Xl7owXyfpVVo4FfRcSpwOXATyq7/5osJK5Qfs/XLC0VHbXM7zUyMntZssvRIRFxMjnK3ZIR8QNggqR1ycxdEfFaozo6aalFXS8DfDNy+OcrgIVI78JuJWM+AxgvaRHyWRnZ1fvSizSpvUu1HjDLAPv1l46iReQ4F/v2tY7qMZLmK6tGAidFxAlkIXBTMj/5bivfnYqO2qA2E4FbI+IcMu9YH7iHHB9gg4h4msxX5ihpcWNkV77O5+1VZaake5Rz1NJ6WTJWZT/ynq0bEQ+SBY8V6SgozwWsXD6TpUVv896GIl7NlCkv4peB9cg2mRnItrO5ydLm2mSwyjck/ZcM/niPfGHujYi7G7z+3GQJ+11yiNiDyX7nB5DDOl4t6Qtk7fUASTcXTedFxJtkqbhplPQYQsYYXE1OpvFpMjN4nGx7/hnZt3epiLhZ0oPAWuXYiyLif03W9EWyYHFHRLwr6W1gUUknke6/2cla9e+BwyQ9SbZNPx0ZqftME7WsB/wI+K+kP5FelgMkzVl2WVHS2hHxt4h4XNJV5D39fGSPjPG9vG5tTO3a9zrAj4EXJP2VDPiclWz22QG4VNJ9ZE1pUeUoa0OBlyOjqP/d2zToQtvnyBrp3SVN7gX2V3petiK77d1PFkR+Keke8hl7rqRJ05D0E7JL4BeBp4BvSlq5H3QcAlwSEXdLehXYT9IqrdbRxXOyEfmcPCzpEtIjuT/Z5HZy+VxBxhYdIel/NOHdqdWWK4WvT5EBzTMVr8KtwMvKke7eJSu0N5EFoA0kfZYswN9TznNPb3R0R0mb1cn+/9eRQauPk3n/5aSXYzPlWAXPAQ+Q45McR7bDXxAZ9d9UUf608EMa2kfJUtvipCvt72Rwyk1kzWA9Mgjlv0weJNJIW/NY4Odl+RpgI/JF241sv5qVLADMTbrvzwQOaNb1u9G0IOnC+lj5vRdZk/8rsDX5QgwvWn5LZlh7tejeLEY2ZWxDFq62IEfHotyPDUgPyyV0tH+eTBfBiE3S802yJ8X0pDtvWHk+vlfu0VeAv1b2H0YOZtTINQdVlgdXdOxIFkwfI2sd3yYLPIPLc3QD2dSzR7lPn2nC/69qqQWM/ai8H3ORUeKDynt0Lukh24mMpB5CGpnfN3p/6KZdtpz/H8D+5feiRceqrdDR6dpDyvdSZJDqdyrbliKbUFqSHl3cm2Hl+1DSIzcX8FRZNx7YvSxvBtxQlj9DdqFr2r0hDeYQsoBTy+euJCsrM5DjNixCBoTWdIwkA+1WbkTHlJ4XcqKtu8lYmj+Ud6f2PQtp8I8lYwXGkHnwdcCWnc7TtLy3KSfxp8ubX8s0DybbUv9Y2VYLovoa8OOyPB3dRJg3oOFLZBebeciS99fIZoRzyUEpINvS1i/Lk2W0TU6L2ciCzzjgh5Xtw4ExZfn75FS4M5UXdHQzdZSMYfPyeway1H0K2fXmMtKoL1oyyLnJroVXUrr6NSt9Klpq3QKHkjWhHUmX/W/oCERctHxWAw7u4lyNapmTLID+uNyLb5BjEQwmgzVXLRnmcaRhH0kak9GddTRBy8jyDHydNOrnk8Fm8wInkm2X8wD3l/1nJwsaszQ5TUaSGfPWlXW/Ku/zHmQmPRb4Z6t0lP8/hGxm26Gs25A0VD8HPlfWLQbc08r0KOcYUdLg2PJsHEM2Gc1CViTmJb08D5XnZy4ysnzuJt+bEWRB/F/leitRKgNk/rJPWZ6P9KQuWN6nEZ11NCNdKudbonx/nGz+g3TTf5f0Wv6BYszL+/bVovELzb5XnT9uo28R0dE2szRZ2n5R0p+La2krSeeSfcVvKPu/FxHPKSeRaWigl8rxV5Hd9i4ia6bLkaX8q4A9i8t1RjIzJ7K9+sMBLRrRUNGyAR1zKL9B1k63AOYoaQFZg91L0n5kafx/EfFmRNwW6aJuOE3gw3si4EhJn4qcZOUmsovjVyJiY7IwMh/Z9/dQsgBwTdmn9p8aDkasaDmqaHmXLGgMIV2KLwCHStqQNLTfJ916j3dxrl5rKff712ST0XJkkOapkdNyLkrWHk8ha42/JQ3gFcDlkSMjfnieKDSgZXryXZmJbM/ch2zKWYH0igVp+IcBt0g6h7w/N0clJqDR+1PiU84jDdjXJR1cNt1BumHXIHvIvAbc2yodkbMzvk8W/jaQtHhEXBERh5HP7caSZopsLnlY0tmt0FHOsQH538eRHo2JpPfvKbL57VkyH3mVbJ/fh4zhuDYq7fBNuDefJPOz/5G14I9HxC3A75VBbDOQBhXy/o0lA0dvi5xnoXYeNfq8Vs61rqQbyViE3ciC6ERJy0XEHWTB52HSRb+WcgredcipZ5+KiAvKeWoT+jQl752EZpcc/PmwVDaIrKX9gCzN3UZm4MPJjGofYI8+0vL9yvJfycx6DkpXjxZedyiZMf+eSu2PrCV/lSyV12r7W5Cl3L1bqEdkMMy/gOsr6+eiw2W/J3ByWZ6Hbro0NlnLDZX18wMHluXPASeU5Rlp/sBEIgtZtQE5FiSN2Qy17eX7i8A5lePmaFGazENHd9NlSMMxhBzc5Rtl/e5kTXIwTfb4VHR8go6uT8tRBigia6f3krXDnwMblvWt0jGovCt/IL2Ce1W2jSnvyy7l9yyt0lHOvx1ZSN+QNLSnV96Z6cr3/sBpZXlWYN4W6BhJ8RCUe3MjHV3S5iGDASED8D7b7OeVSb2etet+i+KhJPPXbclC+YElHRYgbcAitKDpoCcf1+hbRGRp/F3SLXo36WI6D/hJRLwRET+LiJNg8i4z3dGbWm0pJa4iaRdJh5NTuQ6LiBcjh1WcrLteE1mILNzcQ2UChoh4nYxTeIcyYUVEXBQRB0bEz1ukhcg38eSIWBx4U1LN0xBkafwr5Kxqt5YS/zMR8VSzPApT0PJGRcuiwBqStiYD315T9gZ4OyKeaaaWogFynICJZG3ofgDlUKhHSdqGjJ14WNJ0pUb2YivSBHgduFMZYT8nWQt7n8wgvyZpNTIDf6zIb6rHp8JTwJ/LOf8P+Fh5NvYhje12pIFZTDkMc0t0lDzkdeBtsna8tKSjld1knyC9gRtImjciXmuFjsp5LiGN1m5kf/hhwK+UwzGfImlVsh1+XHlGXo2Ip1uQJhMi4tmSZ00gPRu13iHDyHHxTycL0c+UY5r2vEbHkL7fBXYtXqi3gDHK4XWfJJtS/kI2X+xG3r/5gZmL/sMiA43VgneoS9TxrpspoV707SwPxQyRLuJa5jl9lD6RdV6/23Hxe6BhadK9tixZu3+p3us3grKb1j7AmRFxU1k3lBzAYgzws+joIlP3/6xTy+DIfucrkSOCLRsR7ymju5cDXo3sqtRyOmk5vWh5Vzkd5erAs60s+FR0zBQRbyp7YKwdEXuU9VuQmdbrEfGLVuso15w1Il6VtDfZznxYWb8DeX8ej4hj+kJLue7CwJtkBj62UjiePSJe7oPrf5z0Mr1NDld9L9kd91Vlr5pRNU0t1FCLsl+OHEHvOmVPkIfIQtgG5L15OnKylT6h/P+jgUMj4mFlFPuhwB8i4swWXXN6sgvwrWQz3zOkt3ZRskD8JzItzirbticLpxeStf4o52lpPjeZbhv6nlMerBkj4tE6j+vcHaRXN1k59/wmwC0R8Yep7T+F89Q9cEkjKPvLb0X2ud6/sn5o8Xr0KZWM69ek+22y6R77Ko06aVFETDYlZx9q2Y9sCx9MNht8PyrdGfvyuVF2IbuO7O2wKuk2fqnyDrVcS6k5zxYRj0r6LfC7iLis0z4tz7CVg2xdRnpe1gX+ExG/a+U1p6BlTtJl/7ik3wBHRKc+6H38nPyKLIjurxwr5N2IeK9sGxw9HHOkh9cS6TX4Kdl8M47sQXReRJwtaa7IOKvNyP76tQLznJFTAPcbdt13Q804qwSnFVfNeWR/0NXVaSS2KRGF6u9e6FmeDJr6Fzl4y07qmBGqx+6fRl7C3rqZIuJV0tU5R6kl1ta/28h5a/emN4eW7wPLeT6cEapSKGtoBLdealGjWhrQAVlDOY7sFnVEzcj3dZqUWtO8ZCDehsAvIpuaoo/TZGXgREk3kLEMN3beoZ53uV4d6mhSWysiDo2IG4uGv9ZznmZoqfBp4GR1jJ3w38o5++zeVI47jwx0Hgy8WbxztYDiphn5cr4gm7geI5t0TiXd9stJGk0OJnUd2bvpHzXXfES8oNY0dfUY1+i7oKtSuqTzye5PQ8jaxU8j4ro+1LQa2S1sf2Uk9ueAmyJHf+qL6zdUcymZ9xLAvyMH42mWrnnIGsYjdR7X9FrHQNHSgI6dgIci4obyu+HaaimMKiIm1PM/JX2HjB7/WzO0NKBjODnO+L29vXaTdDS1dtqgltnJoL9mpcn8ZNe3ugcIkzR9RLzTDB09uFbN+1YbzW4Y6Wm5HdguIh6UtD055sHpfaGpp7hG3wXlZq4q6YfK8emHkwE6nycDtz4gRykb2YeyZiDHwR8eEVeQLtbFlePkoxyPvGWUNFlLGdRXGwu/x89PRLwTEXdFtgU3pfugpB+QL9qZktZXxzztUz1/NVNrpBY8ULQ0oqNSEzutYuSb0SXrSLIr3rmSlu+JIanUxg6rGPlGu2TVraNGRLxUM2hqMGi1QR3NNvKNaHm50TSpPK8HkCPn/UzSjipj3/f0PagZ+QY9WT2i9gyWisotpP1clPSyjCzbasNn99pT2Qps6Jn8IVGHm/w/ZBDZGmT72EzAQWQ/9FVIg4+k7ZUTKfTq5lavX3kBJjlPRPyVdB/uUlZdTce4+IuRY1svXO+169C4ATnj03Dgj/VmDlUaNSCV4xcjR7U7snxv2ZvzN1KbHihaGtHR1bZGPQzKuIyFyJiSC8jmplWndlynQk+vmgyaoaMbbb02ts3U0SgDIU0qz9yy5ABEe5JBbLuU7b0a775eGiggzECOt3EB2T33ri40DRh3uQ09k0yKsERZ9QFwe0T8loyG3oIcwGR/YOfISRveJkdkguzqslw5V903NzIyfg5JPyLHNh9aPU+l1Px9YCNJm5M1+nfJPqX/Jke769XELj1kSTK69ShydKwDJY1q4fWmiHLil4mkm+wysvvR8pIW/6hqGSg6CmPINv8XIuIU4GlgnXq8YE3KKBvW0SQGio4Bo6U0AbxAGsoHyNiDhfuyAFTy3vmVk4jVc9xLkRM7bRAR20YXkzgNJGzogeKSvhH4nqQ9yJrzC5IuJt31Q8kRluYhDVytT+l4gOJi7HEUbOfaurKr2fnlusuTI7d9+OBFx7SsN5LDgH6GLEFeSwaGQLatPkaTqWh9i/RuQI4/Pjs5il1tv9mafN3OXpbOHo7HyGGDv1BW/YV0n82onHpyC3Ux9eS0rGVq3qL+TJMutNxDPiO16X0vIKPnJ0oaUpoVFrSO5uoYSFp68N68TI6lsTI5INStpOEfpQxe264RT+lUtDWr6eDpevbvLwa0uD5kaXKktG1JV+cnyNG3ziP7ZR5BDpH6dFm+kRyj/sNZuiLilZ5erFZTkTRK2SUkyCESf0q6sN4DNlHH1JzVtsvzyZGYVoqIH1fajXrdTa2rh7TiNq2d/0RgiKQdyrqzSA8Hyj7oGyiDVJpCxcsymaekovcocjjhFSKHbIUcb3oi6d1YqslaluxPLVOq4fZjmkxmECoeqG8D/ydp7sjZuIJs8pqVLIA0HFdS0TG/dQwsLRUdq5XfXb03Z5Lu+40jh8p9iwzM+4CMi+q1p3Qq2gZE00Ff8ZGfprYYtHeBBSQtRbrEV6CjxrxB+R6v0k+SzEzrigSu7qucc/gMclzoF8muVaOBT0XElcruPBuQg1GMKy61lykxASXTfra8LNGENu8PlP1jv0xGxV/V6aWsaT8U+IWkP5CTmqxf0u9xckjd9xrRUUXSZ4DDyHnObwOOjxJ4U/QqIsYp5wzYRTnYy8LkaFmQg1o0VPCo/W/ltK3HAs9JugU4LiJe7EstFU1HAVdExLWqRGK3WkfnZ72kyU/IEfNuj4jjavtEDgKkiLhe0u/I6X0fI6OUn4gcqewqcu6DhlBOlXo08JCkWyLi8Nq2j6KO/tRSeV9q36sAxwNvSboVODdKZH3leX2gPK/rSFqXNLwnlH2ukTSusdSYot5q08FlZNPB5pJWLd7T9iH6cLzd/vhA9zMB1baRsw3tSxr0A8ja6ubk7GUnAg8C+/b0vFO4Xm2qydXJQRYgB1zYk3SHX0a674eQEbGfJV/APWlwOtIpaSfb6/5GZtx/psyQ1tV/JPs2n0rOo7xvZf0sDejpavzonemYDvR6YJFO96y233RkANqRVKbA7M396UJLbRz+b5H9ZoeSTTQHUmbCIr1iTddCF1OlkoWpx5h0qlp1PqYFaVK9Rm0c/P3IUb8GkX2pR1T3raTdjOSseycCazYrTSrX+XF5VuYip5D9Mh1jsKuddQwkLZ101PK5XYGjy/JhpAEfXXs+Ks/rINKLcBCwam/SoSfvUFf/i6y0/YTMZ2sj7W1dNG0HrNjI/Rkon34X0Gd/NI35bFPZZ77yvSE5g1dt/Zy9uJ6AkZ2ufzk5cchG5Cxdy5MFjMvK8hXkNJgzkjOGbVeO7XJ+7CakyYLlAV8QOLasWxj4VWWf2stYyxwGk4OZzN9kLcPLf/86GdG6CzkhUG3O+C0oRqbTcYO7SPdGp8GcHTiENPBzAIcDu5Vt65Pzam/Rai3l2t+sXYvMuNcnJzk5sKtrtjBNZi7/+1dkrMoRpDEZRbpfV+vuPZjS716mybeBr5Rn8XfApmXbzuSwxp/6qOgYSFrKe3NM+Ywix3n/PllAXoKs3e/bxXFDmv28djrfZM8mHfnaEmS+vHX5/SPg62V5HWD3Zunoz09bttFXAi2knIDgD2TGdJS6iRRXBsStrhzZaDfg7yqjGUXvRjZaiJxMptYmthgZ8LI9GSR1O1manIccE3lzckQlkRM1zEt2oSOKm6uOa3f1/6ppMlLSH8lR0I4hmwUWl7Q/OXnFOyqTrJRrD6PSbBART0fEE71Ik+60TUdmTrOQBaJvkzELd5BzwT9ODhC0i6RZJK0oadOanup/jEId1+4cGDmILGRNR2ZW25PdLLdWDvpzLZleo8r+qzZDSxc6ZgEuJms6W0o6jByH/yqyQLSjckyFieWertTCNBE5KdE95P2Ym/R6QU5j+wo5KdAXy/4rK8fvp3pd1dkfvgsdM5BDj85Kvi87ke/IIWWX35IFkkXL/qs2Q0cXugaEjnKO6ftDSxf3ZjDp6ZtYPt8g3fCjyXf6P+SESSMkDSvP605Fx/vV89b7vE5B4yrKZr/DJB2lSQOcP2w6IHssraOcPnZ9cnIlIuIa6giyHtD0d0mjmR+6dmN+kpw7G9KwHkeHG7hzzWdGcorBnZqg5UvANyu/VyVfvj+QgXQwaY3/JnIcfYCFW5QmNdfep8hhRSHHBNiMNGw7kS62mcguN8uQgYm7ALO34H7VXHyzkvN7r066zK4g5+AeCRxS9vkEObbBIDJ4sm4vy1S0bEp6WoYBPyQ9G0PJdkVIA793WV4PuKAsN1UL2Y1xDnL2tpPJvrpzkONqr0XHlKDH0DGd7lAyyK7ZafIpOqYE3Y10cf6RbN5ZmQzY+lbZvi5Zc1TROUXvWS/SZE6yxnh4WTcXcHZZfrT2zpIFs9+W5WbrWJk0WkPJkTH7RUdM+u6M6uc0+RRl+mSyxr5qSZ89yzv9F9IrNQuZF9fem/mAuZqoo6vmv35tOhhIn7YIxiulyxERMaH8/hqwqqRfkhn3S8ox1h8m272Xl/TfmLTmMzgi3qJSgquVLnsp614mDXb8NDnb0+3ktI4nAo+WWtAwsi2tFmz2cEVTrwak6CJNdiRH1juDDPJ7U9J8ZJeWuUhDvwaZIbwp6XLyZbwGGB9loohmIWl1cqKbvclo8MfIKP6dyNnCFi/rFpK0Lznk5HvA0MjuQc3SsSCZAbwLfJeM+q2NmfBJMpDoq2Tw5NqSjiHT795yfxrWUu7V7GTGODv5v08gjeZhFU1bRMS15bCDgack/SJyUpGGhiOtPevFozErmWmPJoM+v096nWrGfF7gq2QNf01lMNeWpOdlUEVjozpmJ9NhNuB/ZXnm4t1YjwwE3JqsPe6rDK5amywo0gwdld/zkr1i7iTjE2aQ9BMyP2mZjm60rEEWSv+PrH32aZqU53VWMl5nNPkcHknmd4tFxI2SbgZGkMHGI8gmnxmAl5XD1j7V1X/rLZE19OFkBP3Lkk4jexK8XjyG55CGf0sysLearw4q+eThNU3lnA3rGii0i+t+IbJrCCVT3pIcovA75PSSF5Nu8SXIzGmtSJfnSEnfkTSkK4Pa4I1ekHywazxGTsu6P2lU34uIK8mCxcPkJCKTdNHorZEvVNNkd7Jv9Xgycv6fZIZ1Ppk5fJJsj76KHGHvH2Sb+e0R8W7kRBHNmt+61pTxBWAvSStHDil5MllLvTAitiRrHk+Q7fTTA3+PiO2jTPnbJC3Tke1w75OGa1ky+OZnwO+B+yNifTIdXyefp1ow3HcbvD8fUp6z4eTMWxuRBZrlyGflT2Rha2OyC+PHyzHvAGtEp5nDGtGgjvHOZyGDt9Yh3fKrk+/NW6Qb+DTSff8QWctfhhyX/oBG06STjjnINNmYTJPlI+Ib5LP7D9Jrtg8ZGLo36ZH7W+SAVr2imslr0m6nz5GFweWBz1R03NgKHVWKlmqlYVvga8oulK+QBv924O+t0NIpTWqDeQ2j4xl5g8xDria7BS8eOXXuHGTTziFkk89lEfG1qIxN39s8toumg+nJ7tC15r9vkfnsIvRT08FAoi1q9OQIdbW29/eA8yPiLElbku6hP0i6FnglIt6XdJdygJdXgD9Wb3QTuRY4QdLlkfPPz0KOprcX6TY6VdLFEfEX0r1FJYNrBiuRNXLIDPqSiDil1AZmjojfS1qELGBMlPRX0theDnwsIu6onqzeB78Lj8I65PS6tW47F5Az8R1ORvy+qpyOc13lkL43AfNGxPVk9HjtvHV7ObrRcmtEvK7s9jOaLBiOI2MVfkrGTjxUTvE6OcXuRcDPK+et635NJU1Gk56nlYDnyZiO6ckuP0uRz/elZOYFQETcV086TEXLzsDnJP2cfE5rnq13SW/Kn8ieGSuQGeYzwNIRcTSVWd2akCZVHUOAZ5TdtJ4HFpM0Bzl41e2lFncPsEzkCG/3V87bqI6aV/AksqvtwqTROgs4VNLbpCu/qTq60fJx4HhJe0fEePIdvYcsGH+meOBWAO5qcZrsQhYwdiUriReXXd8lvYHfIwukOyqnjx0ELBTpDTy7ct6GJ+ip5UeSViYrc0+R+clVZIHnErLtfQZyqN/HgJuB9SLiDUn/Ayab9KndDHyNdqnR30uWYAFuAy5UDme7OOm+WoOs4V4g6fdkhv5eqa02pUZUpbxQb5Av5G7w4WQHO0XEg+Rwj7tH9llV5ZhmDrpwLx39p18HFpF0EWUs9JJ5rkG+lD8hC0jDIod2vKNoamQSj1owYq0w+U06XGODIuKGiPglMKh4YSBrCfOSnob5gA9ns6rUKnqTQXSrhfRy/J1s796BDF5aiexSOZuy3/y8Zf0k9OJ+daXjiLJ8F5lxHkJ6M94jM84VyRr1lcD8VKYFbZCqx2drslfDZWQg5PQRUcvEXyYN7k9JQ3c5GcMwnLxPlHP0dlz67nQcUK57OZkOa5Gel31IT8/KyqlSR5AxA83U8VXSK3gz+V9nIQsab5PDxy5PeggvJZsumqnjQy2aNJB3FQSo02YAAAiKSURBVLJZi4i4NHIAqw9qtVLyGW5JmkiaTdI5ZFPbuuRYG/+MiFph8GWyUHoYcBH57pxDFl4nC2brrZGvelgkzawMnjuW7A2yHmns9yWHLZ9I1uZ/Rba/n0Ley9dUmg4i544fMBPPtJQYAIECjX7IiOzdo4ugDLLP84mkG2ksGXAxRx9q25sMZtukH9NkCGlEzyXb479GuvtWJrvfnEDzA7k+DEYkDdRdZC1w2bJu+vK9MmnQq/dtvj7SslxZNwuVcQBIl2ytq+UnKusb7X7UnY7lK/vsV7smWbhYsix/rAVpckBZ3ogcBIjyjOzYxf5XkLVEqASRtlDHecDXyvL+ndJkMTJ+Yekm66gFFn4Z2KHyv1cs17yeDEbch2xOmbXs0zQdnZ+T8rsWyHs+WYOvrr+bjq6vMwNLNVnHPmV5ZzIu5Ofluf0GZeyETs/I0mV5dGV9o+9NNaB4+vLuzA5cXdYdRRYGh5LxCLWuhbdV3p/tyHlKmnafpqVPu9ToryWnjR0V6boaImksadzuIqODX4+IcRFxeGRNuqX/vVJSPJEsba+iHLt51lZet0I1Td4n26leJANUniAHyhgXEadGxF5RuhA28fr3As+X2vsTEbEcWdo+ErKNuWy7mXSr/ah2YHQE6jQ0LWgPtBxRrvcasJ6k7ymD7R4jDQmRHpimdIWago7DK/ssBHxe0tFknMfQouORoqOZaVLzgj1IGlZID8cr5VpfkHRw0TIjWUsiOly5zXheutPxH+ClsrwAmSbHkGkyYyT3tEhH1Su4BNncNh9wTER8PjKG4zoywJYm66hpeb7yuxbIeybwS0m7F/f3jVTenYh4PTqmj21Wmrxclm8m78ObZBT/emR35C+WZ+Sn5DMSRcvjRcfg3r43SkbWji/NKfeR8TTDgL9IGkE2Ka0eOQz4TUAom/9uJCs2RMRvIuLUmqbe6JmWmeYNfSc3eW0K14lkNOxpZDDXSRHxbsVNrmjx2MSVh3tiRPwrIg4CLoqIV1t5XZgsTXYtq+8lo6J/QWYMp0QlyK4FTQcLkgPcfFBzVUfEecCskrYq+9Tam7cjXcOTEM2bg3tKWrYu+9xDNum8T5b8n+ykpRlpMyUd25R9fkY27QjYLCImmf6yyWkyY1l+PCJuVfYPX5USM0I+L7eSabJFdIoJaGKadKfjmrL+t6SXpZYmd1dP0AIdDxej+QBZ8HqArN1eCR8a0R9H9rNuto6alu4CeYeQXSxrz8F2lCG5W6ClmiYPkb1CTiyFiXGkp+PvZN5Se0Ym6f3R4PNaazoYruxBtSbppl+svJ+/iYjnyRr+VeWYIWSg6AVkXMudnU/axHdo2qG/XQrN/JBu8t2BdcrvOWnQbTStfyppsm75PU9fpAlZ4j4DGFV+Dy3fa5Mz7VX3nWRY2z7WMr6bY5quZaDo6EpLWVdr01wAuJDiOu/LNOlGx459rYM0GGPJZp31yTbvIc2+7lS0zF9+b09WWj5BjilwC2Vci1a+O13oqI3XMDvZzHIak49F0jQdTNp0sEhl/U1MOrTzD4GPkQWTr5R1c/fFvZpWPtN8jR4mc5NfR0Zubw+8HxHxUXTVdJEm65Q0eavVadKVlyXK7HqRU/pep8p0qVHezGiBl6UHWq5Vp6lbW+DdGDA6utNSeI0cOOgccmCT0yvHNN0LVoeOMzod0xc6uvIKtqJ3zpS0dBXI+yAZe/Ny2daSd6eTjp3L6vdIz8JpZLfK38bkozA2O6D4JYCIGK8ciXMwOejYgpX9liON/e8oXsLImfA+km76rqiVBtuC8qDV2nOGRUdXro8s/Z0mkvYmu/c9FRGX9eW1B6qWgaKjouVtciS1B8ha7CWVZ6YpA5pMYzreJb1O1yhndXyxL67djZa3gGci4k99ff1OOqppMhx4udVpopz+er7IbsEfFvAkfRd4KSJ+WWKeasN4Hx5lVkkzKW1l6M3AoZYxl7boRYAdyAz8ksg+832ScQ8kLQNFRxdaFiXbeh8kh/ydqCb0dZ6GddTuzYPkvXmlr3RMQcuHz0lfaJiCjgeBSyPi5VaniXKOjROA70bEk//f3t282BTHcRx/f6I8LESRvaxMHvKwEElsLUgaNrKVPVtrFhTKX0DZkOxEYaFMyNMWs0KkLIm+FueOrmHG1Lhz7z3zfm3O6Zzfved7Nvdzfr/fPeekebDZ9yQ7aP5jNNJpt7KaufqejYINO4NePdXvEYVBrGVQ6piqlrm84BiGOuby+INYSz/qmAjsJIdobpE73bVvGc10yvmqGp/8mV7XNowMeknSwOqawnhXVbf+1V5/MuglSQNnkKa6hp1BL0kaWIMyhTHMDHpJklqsFffRS5KkvzPoJUlqMYNekqQWM+glSWoxg16SpBYz6CWRZHWSK0leJ3mc5GGSA/2uS9LsGfTSPJckwA3gflWtqaotwGGa93x3t1vYj/okzY5BL2kP8K2qLk9sqKrxqrqQ5FiSm0nuAnfSOJvkZZIXSUYBkuxO8uvxpEkuJjnWWX+b5Eyn/aMka+f4/KR5zSt0SSPAk2n2bwY2VNXnJAeBTcBGYCUwluT+DI7xparWJzkKnAf2zbZoSTNjj17Sb5JcSvIsyVhn0+2u93zvBK5W1Y+q+gDcA7bN4Guvdi23/9+KJU3HoJf0iqbXDkBVnQD2Aqs6m2bybPHv/P57snjS/ppiXVKPGfSS7gKLkxzv2rZ0irYPgNEkC5KsAnYBj4BxYF2SRUmW01wodBvtWj78f6VL+hfn6KV5rvMq0P3AuSQngY80vfhTwJJJza/TDL0/o+mZn6yq9wBJrgEvgTfA00mfW5HkOfAVONKrc5H0J99eJ6mnkrwFtlbVp37XIs1HDt1LktRi9uglSWoxe/SSJLWYQS9JUosZ9JIktZhBL0lSixn0kiS1mEEvSVKL/QS/mKffVbqmDQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7366522f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = np.arange(df_s_g.group.size)\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.bar(index, df_s_g.sales, color='blue')\n",
    "plt.xticks(index, df_s_g.group, fontproperties=font, rotation=30)\n",
    "plt.xlabel('Group')\n",
    "plt.ylabel('mean_sales')\n",
    "plt.title(u'不同价格商品的平均销量',fontproperties=font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图表可知：\n",
    "\n",
    "1. 价格在40-490之间的商品平均销量最高，888-1198之间的次之，7290元以上的最低；\n",
    "\n",
    "2. 总体呈现减的趋势"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 商品价格对销量的影响分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_title</th>\n",
       "      <th>view_price</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>北欧风格小户型实木架客厅L型布艺沙发组合</td>\n",
       "      <td>3480.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合</td>\n",
       "      <td>7400.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发</td>\n",
       "      <td>18800.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具</td>\n",
       "      <td>8699.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>江门</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>!【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037</td>\n",
       "      <td>2999.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>杭州</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>!现顾家kuka布艺沙发客厅整装北欧家具现代简约布沙发2033</td>\n",
       "      <td>4399.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>杭州</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>!现顾家布艺沙发客厅整装现代简约可拆洗小户型皮布沙发B001-1</td>\n",
       "      <td>4399.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>杭州</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>轩亿北欧布艺沙发大小户型组合客厅现代简约转角三人沙发整装家具</td>\n",
       "      <td>2688.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>布艺沙发客厅整装现代简约123组合家具套装经济型沙发小户型一田</td>\n",
       "      <td>1280.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>2489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>北欧沙发小户型双人简约日式布艺实木小型休闲简易卧室迷你单人椅</td>\n",
       "      <td>127.80</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>1516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>思茵美现代简约客厅真皮沙发组合整装 大小户型转角头层牛皮沙发</td>\n",
       "      <td>3480.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>现货！现代防水布艺沙发可拆洗整装小户型公寓客厅乳胶三人位沙发</td>\n",
       "      <td>1490.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>新款布艺沙发简约现代小户型组合客厅家具可拆洗转角三人位布沙发</td>\n",
       "      <td>898.20</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>1669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>新款布艺沙发简约现代小户型三人位贵妃沙发拆洗客厅整装组合沙发</td>\n",
       "      <td>899.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>1064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>林尔邦简约现代布艺沙发组合大小户型可拆洗乳胶转角客厅整装家具</td>\n",
       "      <td>1580.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>拆洗布艺沙发现代简约客厅小户型沙发三人位组合家具整装转角沙发</td>\n",
       "      <td>778.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>北欧沙发实木小户型客厅现代简约 羽绒乳胶布艺沙发组合整装家具</td>\n",
       "      <td>2713.20</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>小户型简约现代布艺沙发日式单人简易办公室沙发椅北欧双三人组合</td>\n",
       "      <td>158.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>3210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>新中式沙发现代禅意客厅实木沙发组合样板房酒店复古家具布艺沙发</td>\n",
       "      <td>1980.00</td>\n",
       "      <td>江苏</td>\n",
       "      <td>苏州</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>北欧实木单人双人三人简约日式沙发椅客厅布艺现代简易小户型沙发</td>\n",
       "      <td>127.50</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>2167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>欧式真皮沙发实木雕花转角客厅头层牛皮123组合小户型仿古色家具</td>\n",
       "      <td>4580.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>布艺沙发组合可拆洗简约现代大小户型三人客厅转角时尚整装家具</td>\n",
       "      <td>1180.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>布雷尔头层牛皮真皮沙发简约现代皮艺沙发大户型客厅整装沙发组合</td>\n",
       "      <td>3580.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>布雷尔可拆洗布艺沙发组合简约现代客厅家具整装u型布沙发茶几</td>\n",
       "      <td>1680.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>布艺沙发简约现代大小户型客厅转角可拆洗布沙发组合整装家具</td>\n",
       "      <td>1138.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>1788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>简约现代布艺沙发小户型组合客厅家具转角多色三人位布沙发可拆洗</td>\n",
       "      <td>898.20</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>2089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>布艺沙发组合 现代客厅大小户型可拆洗皮沙发北欧u型贵妃整装家具</td>\n",
       "      <td>2180.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>布艺沙发组合中小户型客厅整装现代简约套装可拆洗经济型组装家具</td>\n",
       "      <td>1180.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>布艺沙发可拆洗组合客厅田园整装三人位小户型简约现代选贵妃家具</td>\n",
       "      <td>1480.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>实木单双人布艺沙发咖啡厅卡座网吧沙发椅小户型沙发单人北欧沙发</td>\n",
       "      <td>158.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>2058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4347</th>\n",
       "      <td>欧式布艺沙发组合双贵妃U型奢华实木客厅整装高档转角简欧沙发</td>\n",
       "      <td>5356.80</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4349</th>\n",
       "      <td>百方家具 小户型布艺沙发转角可拆洗北欧沙发套装客厅整装组合</td>\n",
       "      <td>1980.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4351</th>\n",
       "      <td>凯菲斯品牌北欧布艺沙发 三人位客厅组合 小户型羽绒乳胶整装沙发</td>\n",
       "      <td>2199.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4352</th>\n",
       "      <td>韩兴家具 现代小户型布艺沙发转角可拆洗套装沙发客厅整装组合</td>\n",
       "      <td>1380.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4355</th>\n",
       "      <td>办公沙发  中式大款洽谈会客商务接待沙发 真皮三人位办公室沙发</td>\n",
       "      <td>4680.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4356</th>\n",
       "      <td>布艺沙发组合客厅配套大小户型简约现代整装家具U多功能皮布沙发</td>\n",
       "      <td>1280.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4357</th>\n",
       "      <td>北欧风格布艺沙发小户型现代简约经济型双人客厅家具整装组合</td>\n",
       "      <td>1680.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4358</th>\n",
       "      <td>H.K/皇客 布艺沙发现代简约客厅整装可拆洗大小户型北欧沙发组合</td>\n",
       "      <td>1688.88</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4360</th>\n",
       "      <td>北欧布艺沙发大小户型可拆洗简约现代客厅棉麻布沙发转角组合整装</td>\n",
       "      <td>2188.80</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4361</th>\n",
       "      <td>GKG北欧布艺沙发组合简约现代大小户型贵妃沙发客厅整装家具</td>\n",
       "      <td>1480.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4363</th>\n",
       "      <td>真皮沙发组合头层牛皮 大户型皮艺沙发整装客厅转角现代简约家具</td>\n",
       "      <td>2790.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4366</th>\n",
       "      <td>办公室皮沙发甜品奶茶店西餐咖啡厅双人卡座洽谈桌椅组合简约休闲</td>\n",
       "      <td>280.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>1006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4368</th>\n",
       "      <td>北欧风格布艺沙发科技布日式小户型客厅组合省空间三人位沙发套装</td>\n",
       "      <td>1680.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4369</th>\n",
       "      <td>真皮办公沙发  中式大款会客商务洽谈接待沙发 三人位办公室沙发</td>\n",
       "      <td>4679.50</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4370</th>\n",
       "      <td>可拆洗简约现代棉麻布沙发时尚大小户型客厅转角布艺沙发组合整装</td>\n",
       "      <td>1468.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4371</th>\n",
       "      <td>新款北欧布艺沙发大小户型客厅转角布沙发可拆洗组合简约家具整装</td>\n",
       "      <td>2080.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4372</th>\n",
       "      <td>乳胶布艺沙发组合北欧大小户型布沙发日式可拆洗沙发现代转角家具</td>\n",
       "      <td>1557.24</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4373</th>\n",
       "      <td>简约现代客厅大小户型贵妃L转角布艺沙发组合可定做尺寸沙发</td>\n",
       "      <td>1680.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4376</th>\n",
       "      <td>布艺沙发组合简约现代三人可拆洗北欧乳胶小户型沙发客厅整装家具</td>\n",
       "      <td>899.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4378</th>\n",
       "      <td>布艺沙发组合大小户型家具简约现代可拆洗转角布沙发客厅整装沙发</td>\n",
       "      <td>1880.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4382</th>\n",
       "      <td>北欧布艺沙发组合转角贵妃大小户型客厅整装现代简约灰色日式沙发</td>\n",
       "      <td>2299.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4383</th>\n",
       "      <td>办公沙发茶几组合商务接待小型沙发现代简约会客三人位办公室沙发</td>\n",
       "      <td>497.80</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>1331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4384</th>\n",
       "      <td>布艺沙发大小户型客厅转角简约现代可拆洗L型组合整装家具布沙发</td>\n",
       "      <td>1480.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4385</th>\n",
       "      <td>布艺沙发组合可拆洗简约现代客厅转角贵妃大小户L型沙发整装家具</td>\n",
       "      <td>1280.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4386</th>\n",
       "      <td>真皮办公室沙发茶几组合现代简约高档三人位商务家具接待会客特价</td>\n",
       "      <td>1100.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4387</th>\n",
       "      <td>奶茶甜品店咖啡西餐厅洽谈桌椅组合现代简约休闲皮艺双人卡座沙发</td>\n",
       "      <td>280.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4388</th>\n",
       "      <td>北欧简约布艺沙发大小户型客厅转角储物可拆洗L/U型整装组合家具</td>\n",
       "      <td>1980.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4389</th>\n",
       "      <td>美式乡村复古工艺意大利进口油蜡皮头层真牛皮沙发1+2+3组合</td>\n",
       "      <td>3499.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4390</th>\n",
       "      <td>办公沙发简约会客接待商务三人位沙发办公室家具时尚沙发茶几组合</td>\n",
       "      <td>558.00</td>\n",
       "      <td>广东</td>\n",
       "      <td>佛山</td>\n",
       "      <td>942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4391</th>\n",
       "      <td>洽谈桌椅组合简约休闲甜品奶茶店西餐咖啡厅双人卡座办公室布沙发</td>\n",
       "      <td>200.00</td>\n",
       "      <td>浙江</td>\n",
       "      <td>湖州</td>\n",
       "      <td>1323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3449 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               raw_title  view_price province city  sales\n",
       "0                   北欧风格小户型实木架客厅L型布艺沙发组合     3480.00       广东   佛山    328\n",
       "1          凯哲家具欧式真皮沙发 头层牛皮雕花实木客厅整装转角沙发组合     7400.00       广东   佛山    111\n",
       "2         雅居汇 欧式真皮转角沙发实木雕花客厅家具组合美式真皮转角沙发    18800.00       广东   佛山     25\n",
       "3         斯帝罗兰简约现代真皮沙发组合整装客厅转角头层牛皮三人沙发家具     8699.00       广东   江门     93\n",
       "4     !【新款】现顾家kuka北欧布艺沙发客厅大小户型现代简约组合2037     2999.00       浙江   杭州    142\n",
       "5        !现顾家kuka布艺沙发客厅整装北欧家具现代简约布沙发2033     4399.00       浙江   杭州    128\n",
       "6       !现顾家布艺沙发客厅整装现代简约可拆洗小户型皮布沙发B001-1     4399.00       浙江   杭州     64\n",
       "7         轩亿北欧布艺沙发大小户型组合客厅现代简约转角三人沙发整装家具     2688.00       广东   佛山    470\n",
       "8        布艺沙发客厅整装现代简约123组合家具套装经济型沙发小户型一田     1280.00       广东   佛山   2489\n",
       "9         北欧沙发小户型双人简约日式布艺实木小型休闲简易卧室迷你单人椅      127.80       浙江   湖州   1516\n",
       "10        思茵美现代简约客厅真皮沙发组合整装 大小户型转角头层牛皮沙发     3480.00       广东   佛山    185\n",
       "11        现货！现代防水布艺沙发可拆洗整装小户型公寓客厅乳胶三人位沙发     1490.00       广东   佛山    748\n",
       "12        新款布艺沙发简约现代小户型组合客厅家具可拆洗转角三人位布沙发      898.20       广东   佛山   1669\n",
       "13        新款布艺沙发简约现代小户型三人位贵妃沙发拆洗客厅整装组合沙发      899.00       广东   佛山   1064\n",
       "14        林尔邦简约现代布艺沙发组合大小户型可拆洗乳胶转角客厅整装家具     1580.00       广东   佛山    262\n",
       "15        拆洗布艺沙发现代简约客厅小户型沙发三人位组合家具整装转角沙发      778.00       广东   佛山    549\n",
       "17        北欧沙发实木小户型客厅现代简约 羽绒乳胶布艺沙发组合整装家具     2713.20       广东   佛山    192\n",
       "18        小户型简约现代布艺沙发日式单人简易办公室沙发椅北欧双三人组合      158.00       浙江   湖州   3210\n",
       "19        新中式沙发现代禅意客厅实木沙发组合样板房酒店复古家具布艺沙发     1980.00       江苏   苏州    179\n",
       "20        北欧实木单人双人三人简约日式沙发椅客厅布艺现代简易小户型沙发      127.50       浙江   湖州   2167\n",
       "21       欧式真皮沙发实木雕花转角客厅头层牛皮123组合小户型仿古色家具     4580.00       广东   佛山    203\n",
       "22         布艺沙发组合可拆洗简约现代大小户型三人客厅转角时尚整装家具     1180.00       广东   佛山    558\n",
       "23        布雷尔头层牛皮真皮沙发简约现代皮艺沙发大户型客厅整装沙发组合     3580.00       广东   佛山    298\n",
       "24         布雷尔可拆洗布艺沙发组合简约现代客厅家具整装u型布沙发茶几     1680.00       广东   佛山    443\n",
       "25          布艺沙发简约现代大小户型客厅转角可拆洗布沙发组合整装家具     1138.00       广东   佛山   1788\n",
       "26        简约现代布艺沙发小户型组合客厅家具转角多色三人位布沙发可拆洗      898.20       广东   佛山   2089\n",
       "27       布艺沙发组合 现代客厅大小户型可拆洗皮沙发北欧u型贵妃整装家具     2180.00       广东   佛山    397\n",
       "28        布艺沙发组合中小户型客厅整装现代简约套装可拆洗经济型组装家具     1180.00       广东   佛山    202\n",
       "29        布艺沙发可拆洗组合客厅田园整装三人位小户型简约现代选贵妃家具     1480.00       广东   佛山    104\n",
       "30        实木单双人布艺沙发咖啡厅卡座网吧沙发椅小户型沙发单人北欧沙发      158.00       浙江   湖州   2058\n",
       "...                                  ...         ...      ...  ...    ...\n",
       "4347       欧式布艺沙发组合双贵妃U型奢华实木客厅整装高档转角简欧沙发     5356.80       广东   佛山     24\n",
       "4349       百方家具 小户型布艺沙发转角可拆洗北欧沙发套装客厅整装组合     1980.00       广东   佛山    107\n",
       "4351     凯菲斯品牌北欧布艺沙发 三人位客厅组合 小户型羽绒乳胶整装沙发     2199.00       广东   佛山    146\n",
       "4352       韩兴家具 现代小户型布艺沙发转角可拆洗套装沙发客厅整装组合     1380.00       广东   佛山    185\n",
       "4355     办公沙发  中式大款洽谈会客商务接待沙发 真皮三人位办公室沙发     4680.00       广东   佛山    114\n",
       "4356      布艺沙发组合客厅配套大小户型简约现代整装家具U多功能皮布沙发     1280.00       广东   佛山    259\n",
       "4357        北欧风格布艺沙发小户型现代简约经济型双人客厅家具整装组合     1680.00       广东   佛山    248\n",
       "4358    H.K/皇客 布艺沙发现代简约客厅整装可拆洗大小户型北欧沙发组合     1688.88       广东   佛山     38\n",
       "4360      北欧布艺沙发大小户型可拆洗简约现代客厅棉麻布沙发转角组合整装     2188.80       广东   佛山     45\n",
       "4361       GKG北欧布艺沙发组合简约现代大小户型贵妃沙发客厅整装家具     1480.00       广东   佛山     28\n",
       "4363      真皮沙发组合头层牛皮 大户型皮艺沙发整装客厅转角现代简约家具     2790.00       广东   佛山     46\n",
       "4366      办公室皮沙发甜品奶茶店西餐咖啡厅双人卡座洽谈桌椅组合简约休闲      280.00       浙江   湖州   1006\n",
       "4368      北欧风格布艺沙发科技布日式小户型客厅组合省空间三人位沙发套装     1680.00       广东   佛山     67\n",
       "4369     真皮办公沙发  中式大款会客商务洽谈接待沙发 三人位办公室沙发     4679.50       广东   佛山    159\n",
       "4370      可拆洗简约现代棉麻布沙发时尚大小户型客厅转角布艺沙发组合整装     1468.00       广东   佛山     43\n",
       "4371      新款北欧布艺沙发大小户型客厅转角布沙发可拆洗组合简约家具整装     2080.00       广东   佛山     98\n",
       "4372      乳胶布艺沙发组合北欧大小户型布沙发日式可拆洗沙发现代转角家具     1557.24       广东   佛山    156\n",
       "4373        简约现代客厅大小户型贵妃L转角布艺沙发组合可定做尺寸沙发     1680.00       广东   佛山     33\n",
       "4376      布艺沙发组合简约现代三人可拆洗北欧乳胶小户型沙发客厅整装家具      899.00       广东   佛山    161\n",
       "4378      布艺沙发组合大小户型家具简约现代可拆洗转角布沙发客厅整装沙发     1880.00       广东   佛山     86\n",
       "4382      北欧布艺沙发组合转角贵妃大小户型客厅整装现代简约灰色日式沙发     2299.00       广东   佛山     27\n",
       "4383      办公沙发茶几组合商务接待小型沙发现代简约会客三人位办公室沙发      497.80       广东   佛山   1331\n",
       "4384      布艺沙发大小户型客厅转角简约现代可拆洗L型组合整装家具布沙发     1480.00       广东   佛山     43\n",
       "4385      布艺沙发组合可拆洗简约现代客厅转角贵妃大小户L型沙发整装家具     1280.00       广东   佛山    228\n",
       "4386      真皮办公室沙发茶几组合现代简约高档三人位商务家具接待会客特价     1100.00       广东   佛山     81\n",
       "4387      奶茶甜品店咖啡西餐厅洽谈桌椅组合现代简约休闲皮艺双人卡座沙发      280.00       浙江   湖州    230\n",
       "4388     北欧简约布艺沙发大小户型客厅转角储物可拆洗L/U型整装组合家具     1980.00       广东   佛山    125\n",
       "4389      美式乡村复古工艺意大利进口油蜡皮头层真牛皮沙发1+2+3组合     3499.00       广东   佛山     31\n",
       "4390      办公沙发简约会客接待商务三人位沙发办公室家具时尚沙发茶几组合      558.00       广东   佛山    942\n",
       "4391      洽谈桌椅组合简约休闲甜品奶茶店西餐咖啡厅双人卡座办公室布沙发      200.00       浙江   湖州   1323\n",
       "\n",
       "[3449 rows x 5 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4esz/deBqMxsAdhFGUuHuD5rZ9cBDwDBwtruP5FhuEREpw8KP+pmlu7vb+/v7610MEZGGYmZ3u3v3RPl05Xie1q6FOXPCvFdz5oRtEZEGp7mq8rJ2LVx22ej2yMjo9oYN9SmTiEgNqMaRl97ebOkiIg1CgSMvIyn992npIiINQoEjL80p02mlpYuINAgFjrysXp0tXUSkQahzPC+FDvDe3tA81dwcgoY6xkWkwSlw5GnDBgUKEZlx1FQlIiKZKHCIiEgmChwiIpKJAoeIiGSiwJGHvj7o7ISmpvDY11fvEomI1IxGVdVaX18Ydjs0FLa3bRu9dqOnp37lEhGpEdU4am3dutGgUTA0FNILNGuuiDQwBY5ik21mevzx8umFWXMLc1YVZs1V8BCRBlHRjZzM7JMTZNnh7l+uTZEmr+obORU3MwG0tISrvyttZursDM1TxTo6YOvWUMMoNdFhczMMD2cvs4hIjVR6I6dK+ziOItzK1VKevxKYNoGjauWamSoNHOvXlw4+69eHdc2aKyINrtLAMeLuz6c9aWYz4/6zEzUzVaIQYNatC69bvjwEjUJ6c3N6jUNEpAFU2scxUWCYGYFj+fJs6Wl6ekKz1L594TFZW9GsuSLS4CoNHHPN7NUpy0HAzPi5vH59aFZKSjYz1cKGDbBmzWgNo7k5bGsyRBFpEJU2Vd0BnJvynAE316Y4dTZRM1OtaNZcEWlglQaOtzIbOschBInJBIr2dnjyydHtpUthcHDy5RIRmSbUOV5LxUEDwnZ7u4KHiMwY6hyvpeKgMVG6iEgDUud4MU1QKCJSVtbO8bQ+jltqU5w60wSFIiITqmjKkUZT9ZQjE00XMpFSfRygDnIRaQiVTjmiSQ6TqrlyPNm0NXcutLaOfV5BQ0RmGAWOpKxXjheatrZtA/fw+PLLsHFj2HZX0BCRGUeBI2n9+lBzSGpqSr9yvJJ7b4iIzDAKHEm33x7ml0raty+kl1KLSRFFRBpMboHDzA4xsx+Z2UNm9qCZnRPTF5rZJjPbEh8XxHQzs0vNbMDM7jOzIxLvtSrm32Jmq/IqM7292dJrNSmiiEgDybPGMQx8zN27CPfzONvMuoDzgM3ufhiwOW4DvAM4LC6rgcsgBBrgU4RpT44EPlUINjWX9V4ZUzEpoojINJNb4HD3p9z9l3H9d8DDQDtwMmFuK+LjKXH9ZOAqD+4AWs3sYOBEYJO773L33cAmYGUuhU67J0Zaek9PqI10dIT7h3d0ZLtboIhIA5qSPg4z6wTeDNwJLHH3p+JTTwNL4no78ETiZdtjWlp68T5Wm1m/mfXv3LmzuoJWc6+McvfeEBGZgXIPHGZ2IPBt4NziiRI9XH1YkysQ3b3X3bvdvbutra26N9G9MkREJpRr4DCzuYSg0efu34nJz8QmKOLjjpg+CBySePmymJaWno8NG2B4OFyDMTysoCEiUiTPUVUGfB142N3/KfHUjUBhZNQq4IZE+ofi6KqjgOdik9atwAlmtiB2ip8Q00REpA4qneSwGkcDHwTuN7N7Y9p/Ay4GrjezM4FtwPviczcBJwEDwBBwOoC77zKzC4FfxHyfcfddOZZbRETK0CSHIiICaJLD+tC9PERkFsizqWp20b08RGSWUI2jVjThoYjMEgoctaIJD0VkllDgqBVNeCgis4QCx2QVOsS3bQvzVRXbsWN8mohIA1Pn+GQUd4iXGtq8dy8sWAC7d09t2UREcqIax2SU6hAvZc+e/MsiIjJFFDiKZbkWQx3fIjILKXAkFZqetm0LzU6FazHSgoc6vkVkFlLgSEq7FuOcc0rnL3UHwFJaWydfNhGRaUKBIymt6enZZ0vXOkrdAfCAA8bmaW1Vx7iIzCia5DBp8eIQJErp6Ah3+BMRmaE0yWGtqSNcRARQ4BhrV5nbfKgjXEQEUOAYKy04mIWOcBERUeAYo9QoKTM46yxNjS4iEilwJJUaJXX11bBhQ71LJiIybWiuqmI9PapdiIiUoRpHKaWmHVm7FubMCTWROXPCdqXa28PrCkt7e14lFxHJnQJHsVLTjnz4w3DZZTAyEvKMjITtSoJHezs8+eTYtCefHA0ekwlIIiJ1oAsAi73qVfDCC5XlbW6G4eHyeUrdo6NgzZoQgEqlq19FRKaYLgCsxtq1lQcNGK2BVKu3N1u6iMg0oMCRlPWE3dw8uf2lBZ7JBiQRkRwpcCRlPWGvXj1xnqVL09PTAs9kA5KISI4UOJLSTthmod+h8Hxzc+X9EIOD44PH0qUh/dhjS78mLV1EZBpQ4EhKq0GcdVYIEsPDYaTV8HC2zuvBwfC6wjI4GNIHBkrnT0sXEZkGFDiSjj56fK2juTmk5yFtxl3NxCsi05gCR9K6deP7OUZGQnoe0iZV1Ey8IjKNKXAkTXUNoNSkii0tmolXRKY1BY6kamoApaYnqVSpSRV7ezVXlohMawocSVlrAKWmJ1m9Onvw2LoV9u0Lj+WChua8EpFpILfAYWaXm9kOM3sgkbbQzDaZ2Zb4uCCmm5ldamYDZnafmR2ReM2qmH+Lma3Kq7zA2BpAwdAQnHYaHH/8+Pzr1oXnk4aG8ukTmWjOKxGRKZJnjeMKYGVR2nnAZnc/DNgctwHeARwWl9XAZRACDfAp4K3AkcCnCsEmN7ffHmoOxTZvHh88prJPpDhoTJQuIpKT3AKHu/8UKL6J98nAlXH9SuCURPpVHtwBtJrZwcCJwCZ33+Xuu4FNjA9GtbN2belJBws2bx67rVFRIjILTXUfxxJ3fyquPw0sievtwBOJfNtjWlp6PiqZqyo5/blGRYnILFS3znEP87nXbE53M1ttZv1m1r9z587q3qTSuaoK9+O4/fbKR0VNZvQVpM95BbAg0XqnDnQRydlUB45nYhMU8XFHTB8EDknkWxbT0tLHcfded+929+62trbqSpd1csFCkJhoVFQtRl+VmvOqYM8emDcvvQO93D1BREQymurAcSNQGBm1Crghkf6hOLrqKOC52KR1K3CCmS2IneInxLR8VDLbbVKlNZSpGH31yivlO8pV8xCRGslzOO41wM+B15vZdjM7E7gY+DMz2wIcH7cBbgIeAwaArwJrAdx9F3Ah8Iu4fCam5SPrnFSV/pIvNUqrXHqayYygevLJ6prIRESK6NaxSZ2d2U/mlRy/cgGm1OvXrg3NYCMjofls9eowG28tmpxaWnR1uoiUVOmtY+dMRWEaxnSYlbZ4SHChI75WCk1kChwiUiVNOZKU9fqL4s70akZONTePHeJb7j7k5UZWZTEdAqSINCwFjqS06zLmzi2dP9mZXmrk1BlnwOLF5fe5b194LNQsyt2HPK2Po3BHwtbW8vsq0AWKIjIJChxJPT2watXYW8S6hxFLxQ44YOxdAEuNnHr5ZXj22XzK2to6ekfBwh0Jd++eOHjoAkURmSQFjqS+vrG/+kdGYO/e0nn37h3bNJW1U32y9uwpnb5799jb1G7cqGnbRaSmNKoqKeuopZaW8bWMySqMoiqMqipnBn52IlI/lY6qUo1jMmodNGB06O3wsAKDiExLChzTzTXXjN1OqwVpGhERqRMFjummuO/i6qtL50tLFxHJmQLHdJS8BqSnZ3wH98aN6uAWkbrRlePTUWH2XAgBorBUasGCsTWX1tYw2kpEpAZU45iuqp09tzhoQNhekO8dd0Vk9lDgSOrqqncJxtq2LUxFkpySZCJp13ekpYuIZKTAkfTii/UuwXjJixEvuwwOPLD6uwiKiNSAAkdSI0z+9+KL4+8iuGDB6K1iRURyps7xpEa74G5oCE47rbK8lU6AKCIyAdU4ZgONqhKRGlKNYyZrtBqUiDQE1TgaWfG9Q0REpoACR6Pq6Aj3DknT2hqG72YdzisiMgE1VTUas9EmqMsvT8/34ovp9y5P3oBKRCQj1TgaTSFobNsGL72Unq/UXQshBI9qr/+o5p7qIjLjKHDMRqedNnrdR6mpSEoFiFL3VC9cRyIis4ruAJg0my+gK3wPCgEieZOqlpZwj/VS90/v6ICtW6ekiCKSL90BULIp1DzWrRt/Z8OhodJBAxrjansRqSkFDgn27Am1jayBYPnybPlbWkabycxg3rzZ02+iPiKZITSqaqZqaoJ9+7K95rTTwusqbb5saYH16yt//5YW2Lt3bNorr4T+Ehh/H5KZpLgJcCb/rTLjqcYxE7W0ZA8aBZW+bv586O3NdtIrDhqlDA2F61MK156Ylf513mi/3tOaAKu554pInSlwFLS317sEtVN8gsrD738/GjRKncQnc/Fhcip5GD+CK22E19q1Y8tx/PHT5wLItCZA9RFJA9KoqoLZPKKqWmawcCE8//zY60aam0dP+rXW0QEvvJDeWT+R+fPhK1+prKbU1xdqBI8/Hvpy1q+vvlmps3O0SS5Jo9JkGtGoKsmfeziBF19smFfQgHDyrTZoQLiifvXqUMNMdtIvWDC2dnL88ZO7bqW4FnbSSePnFivVR9RoTXB5qsex0PGvjLvPuOUtb3mLZxZOD1q0TLw0N7t3dYXHwvaaNaPfpY0b3Vtaxr6mpSXk6ehwNwuPGzeOfc2iReP31dISnuvqGpve1ZX9O16NNWvS/848bNwYjg2E41R8PBYtGn8sVqyoTbnTPrfk55SntM946dKx6UuXji1z4TtVfKxaWzMXAeh3n/gcO2GGRlwUOLTUbWludj/wwInzdXSEE17h5FbNMlHwSJ48k0vxiTZ58qmkXMmgmbVM5ZQ6cVe6rFjhfsAB5fNMFDwKAavUZ1VsxYryx7Tc8U0GouJgUbw0NZVOX7q0suOVMXjMuMABrAQeAQaA88rlrSpwTPQBatEyHZc0a9aUf13hRLdxo/vcubUtU1fX2JPl/PmjJ8Byv/7TTtxTcbzcS/9qh5BeybmiVPAodXIv7GcyPxqg8uOVwYwKHEAz8CjwGmAe8CugKy1/VYHDPf8vrRYttV7SVHJSci/dPFaLZaJfwqWCR9qJeyqOl3tlNY6NG7O9f57BsNLjlUGlgaNROsePBAbc/TF3fxm4Fji5zmUSmb4qHaAwmYEG5Uw0JLy3d3xa1lkIam39+okHMGS97ibP4dZ1PF6NEjjagScS29tj2h+Y2Woz6zez/p07d05p4USmnebmepegvFKBrdSJeyr19ISA1tERRtd1dIy/yDXvKXkqtXRpZbM2tLbmsvtGCRwTcvded+929+62trbq3qSjo7aFEqmXwnQmaVasCI+LFtV+35UErVJ5Sp24N24MS7lyrlgRZm+eSFfXxHl6esJ1Nfv2hcfi63bKBYLCMU2abDBcsyYEiaSlS2FwMJStqcwpvLUVdu+uft/lVNKeVe8FeBtwa2L7fOD8tPxV93FMZlSHFi21XNasmXjARrmRPO7pry8ezjlRf0iyM3fNmvTRWjDaMV5NH0cl/59po5Pcy4+qqtXw5bS/rdz7TzTEOO2YV3KM0gZBVDlsmhnWOT4HeAw4lNHO8cPT8lcdONxLfzk3bgwjQ+p1EunqSu9kW7EilK+SIaCVLJMd6VFuyTI0sPiYNzWF45D8xzvwwNGTx0QnlTSlxvuX2nchvfA5FF6T3Fcl75X83Cq51iC5z+LXV/v3ldpHspN80aLJX7tQzaiqRlHtdy3ttZO9VqaG19pUGjgaZsoRMzsJuIQwwupyd09t4Kv6Rk4iIrNYpVOONMy06u5+E3BTvcshIjLbzZjOcRERmRoKHCIikokCh4iIZKLAISIimTTMqKoszGwnUOKuORVZDPxrDYtTKypXNtO1XDB9y6ZyZTMTy9Xh7hNeQT0jA8dkmFl/JcPRpprKlc10LRdM37KpXNnM5nKpqUpERDJR4BARkUwUOMYrMd/ztKByZTNdywXTt2wqVzaztlzq4xARkUxU4xARkUwUOEREJBMFjsjMVprZI2Y2YGbnTcH+DjGzH5nZQ2b2oJmdE9MvMLNBM7s3LiclXnN+LN8jZnZinmU3s61mdn8sQ39MW2hmm8xsS3xcENPNzC6N+7/PzI5IvM+qmH+Lma2aZJlenzgu95rZ82Z2bj2OmZldbmY7zOyBRFrNjo+ZvSUe/4H4WptEuT5vZr+O+/6umbXG9E4z25s4bl+eaP9pf2OV5arZ52Zmh5rZnTH9OjMZz3bKAAAE7UlEQVSbN4lyXZco01Yzu7cOxyvt/FD37xjQGPfjyHshTNX+KPAaRu/30ZXzPg8GjojrrwJ+A3QBFwAfL5G/K5ZrP8J9SR6N5c6l7MBWYHFR2ueA8+L6ecBn4/pJwM2AAUcBd8b0hYT7qCwEFsT1BTX8zJ4GOupxzIC3A0cAD+RxfIC7Yl6Lr33HJMp1AjAnrn82Ua7OZL6i9ym5/7S/scpy1exzA64HTo3rXwbWVFuuoue/AHyyDscr7fxQ9++Yu6vGER0JDLj7Y+7+MnAtcHKeO3T3p9z9l3H9d8DDFN1HvcjJwLXu/pK7/xYYiOWeyrKfDFwZ168ETkmkX+XBHUCrmR0MnAhscvdd7r4b2ASsrFFZVgCPunu5GQJyO2bu/lNgV4n9Tfr4xOde7e53ePgPvyrxXpnL5e63uftw3LwDWFbuPSbYf9rfmLlcZWT63OIv5eOAb9WyXPF93wdcU+49cjpeaeeHun/HQE1VBe3AE4nt7ZQ/ideUmXUCbwbujEkfjdXNyxNV27Qy5lV2B24zs7vNrHAD6yXu/lRcfxpYUqeyAZzK2H/o6XDManV82uN6rcsHcAbh12XBoWZ2j5n9xMz+JFHetP2n/Y3VqsXntgjYkwiOtTpefwI84+5bEmlTfryKzg/T4jumwFFnZnYg8G3gXHd/HrgMeC3wJuApQlW5Ho5x9yOAdwBnm9nbk0/GXyl1Gcsd26/fA3wzJk2XY/YH9Tw+acxsHTAM9MWkp4Dl7v5m4G+Bb5jZqyt9vxr8jdPucyvyfsb+OJny41Xi/DCp96sVBY5gEDgksb0spuXKzOYSvhR97v4dAHd/xt1H3H0f8FVC9bxcGXMpu7sPxscdwHdjOZ6JVdxC9XxHPcpGCGa/dPdnYhmnxTGjdsdnkLHNSZMun5l9GHgX0BNPOMSmoGfj+t2E/oN/O8H+0/7GzGr4uT1LaJqZU5Retfhefw5clyjvlB6vUueHMu83td+xSjtDZvJCuIXuY4SOuEKn2+E579MI7YqXFKUfnFj/G0JbL8DhjO0wfIzQWVjzsgPzgVcl1v8foW/i84ztmPtcXH8nYzvm7orpC4HfEjrlFsT1hTU4dtcCp9f7mFHUWVrL48P4jsuTJlGulcBDQFtRvjagOa6/hnDiKLv/tL+xynLV7HMj1D6TneNrqy1X4pj9pF7Hi/Tzw/T4jk32n3imLIRRCb8h/IpYNwX7O4ZQzbwPuDcuJwFXA/fH9BuL/rnWxfI9QmIERK3LHv8pfhWXBwvvSWhL3gxsAX6Q+AIa8L/j/u8HuhPvdQahc3OAxMl+EmWbT/iFeVAibcqPGaEJ4yngFUL78Jm1PD5AN/BAfM2XiLM8VFmuAUI7d+F79uWY973x870X+CXw7on2n/Y3Vlmumn1u8Tt7V/xbvwnsV225YvoVwFlFeafyeKWdH+r+HXN3TTkiIiLZqI9DREQyUeAQEZFMFDhERCQTBQ4REclEgUNERDJR4BARkUwUOEREJJM5E2cRkWqY2QWEK3MLk+/NIcxOOy7N3S+Y6vKJVEuBQyRfp7r7HgALN1A6NyVNpGGoqUpERDJR4BARkUwUOEREJBMFDhERyUSBQ0REMlHgEBGRTDQcVyQ/O4CrzGxf3G4CbklJE2kYupGTiIhkoqYqERHJRIFDREQyUeAQEZFMFDhERCST/w+wbb0F6k0wCQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7365be4390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(data_p['view_price'],data_p['sales'], color='red')\n",
    "ax.set_xlabel(u'价格')\n",
    "ax.set_ylabel(u'销量')\n",
    "ax.set_title(u'商品价格对销量的影响',fontproperties=font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 商品价格对销售额的影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7364ef8080>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7364efae80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['GMV'] = data['price'] * data['sales']\n",
    "\n",
    "import seaborn as sns\n",
    "sns.regplot(x='price', y='GMV', data=data, color='purple')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图表可知：\n",
    "\n",
    "1. 总体趋势：由线性回归拟合线可以看出，商品销售额随着价格增长呈现上升趋势；\n",
    "\n",
    "2. 多数商品的价格偏低，销售额也偏低；"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 不同省份商品数量分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7364e41390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "data.province.value_counts().plot(kind='bar', color='blue')\n",
    "plt.xticks(rotation=0,fontproperties=font)\n",
    "plt.xlabel(u'省份',fontproperties=font)\n",
    "plt.ylabel(u'数量',fontproperties=font)\n",
    "plt.title(u'不同价格商品的平均销量',fontproperties=font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图表可知：\n",
    "\n",
    "1. 广东的最多，浙江次之，江苏第三，尤其是广东的数量远超过江苏、浙江、上海等地，说明在沙发这个子类目，广东的店铺占主导地位；\n",
    "\n",
    "2. 江浙沪等地的数量差异不大，基本相当。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
